scholarly journals The Effect of Workplace Violence on Depressive Symptoms and the Mediating Role of Psychological Capital in Chinese Township General Practitioners and Nurses: A Cross-Sectional Study

2019 ◽  
Vol 16 (12) ◽  
pp. 896-903
Author(s):  
Chi Tong ◽  
Chunying Cui ◽  
Yifei Li ◽  
Lie Wang
Keyword(s):  
Depressive Symptoms ◽  
General Practitioners ◽  
Workplace Violence ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mediating Role

scholarly journals Associations of workplace violence and psychological capital with depressive symptoms and burn-out among doctors in Liaoning, China: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e024186 ◽  
Author(s):  
Guoyuan Sui ◽  
Guangcong Liu ◽  
Lianqun Jia ◽  
Lie Wang ◽  
Guanlin Yang
Keyword(s):  
Depressive Symptoms ◽  
Emotional Exhaustion ◽  
Workplace Violence ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Psychological Aggression ◽  
Liaoning Province ◽  
Sectional Study ◽  
Cross Sectional ◽  
Burn Out

ObjectivesThe purpose of this study was to (1) Identify the prevalence of workplace violence among doctors in Liaoning, China. (2) Examine the relationships between workplace violence and psychological capital with depressive symptoms and burn-out in Chinese doctors.DesignA quantitative, cross-sectional study.SettingEight hospitals in Liaoning Province were surveyed using a self-reported questionnaire.ParticipantsThe study population comprised 1800 doctors. Ultimately 1392 doctors completed valid questionnaires with a response rate of 77.3%.ResultsThe prevalence of workplace violence was 77.5%. Compared with other types of workplace violence, the prevalence of psychological aggression was the highest (72.7%). Workplace violence (depressive symptoms:β[95% CI]=0.11 [0.06, 0.16]; emotional exhaustion:β[95% CI]=0.18 [0.13, 0.23]; depersonalisation:β[95% CI]=0.17 [0.12, 0.22]) and psychological capital (depressive symptoms:β[95% CI]=−0.32 [−0.37, –0.27]; emotional exhaustion:β[95% CI]=−0.23 [−0.28, –0.18]; depersonalisation:β[95% CI]=−0.23 [−0.28, –0.18]) were associated with depressive symptoms and burn-out. Workplace violence increased the level of depressive symptoms and burn-out by damaging psychological capital (depressive symptoms: a*b=1.61, bias-corrected and accelerated [BCa] 95% CI 1.08 to 2.25; emotional exhaustion: a*b=1.29, BCa 95% CI 0.86 to 1.83; depersonalisation: a*b=0.70, BCa 95% CI 0.45 to 1.00).ConclusionsIn China, most doctors will be exposed to workplace violence, especially psychological aggression. A safer work environment and psychological capital development may be considered in prevention and treatment strategies for improving mental health.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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