Risk factors of role stress and professional burnout among nurse anesthetists: A multicenter cross‐sectional study

2021 ◽  
Author(s):  
Haihong Meng ◽  
Shuling Bai ◽  
Qinqin Cao
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Role Stress ◽  
Nurse Anesthetists ◽  
Professional Burnout ◽  
Sectional Study ◽  
Cross Sectional

PRRSV: Risikofaktoren und Herdenprävalenz in Deutschland

2019 ◽  
Vol 47 (02) ◽  
pp. 132-132
Author(s):  
Sebastian Ganz
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Respiratory Syndrome Virus ◽  
Sectional Study ◽  
Cross Sectional ◽  
Klinische Symptome

Nathues C, Janssen E, Duengelhoef A et al. Cross-sectional study on risk factors for Porcine Reproductive and Respiratory Syndrome virus sow herd instability in German breeding herds. Acta Vet Scand 2018; 60 (1): 1–8 In mit PRRSV (Porcine Reproductive and Respiratory Syndrom Virus) infizierten Schweinebeständen zeigen die Tiere oftmals ernsthafte klinische Symptome. Die Schwere der Symptomatik hängt von der Virulenz der jeweiligen Virusstämme ab. Deshalb ist die Impfung gegen diesen Erreger sinnvoll und wird empfohlen, auch wenn sie nicht immer klinische Fälle verhindert bzw. das Virus vollends eliminiert. Aufgrund dessen rückt die Prävention durch Verbesserung der innerbetrieblichen Abläufe zunehmend in den Fokus. Um solche Maßnahmen erfolgreich etablieren zu können, ist es wichtig, den epidemiologischen Status der Herde und mögliche Risikofaktoren zu kennen. Ziel der Studie war deshalb, die Prävalenz der Infektion in Sauenbetrieben in Norddeutschland zu eruieren und verschiedene Arbeitsabläufe hinsichtlich des Risikos der Erregerverbreitung zu untersuchen.

Laboratory Parameters and Complication Risk Factors in Mexican COVID-19 Patients: A Cross-Sectional Study

2020 ◽  
Author(s):  
Christian Omar Ramos-Peñafiel ◽  
Erika Areli Rosas-Gonzalez ◽  
Cristina Elizabeth Madera-Maldonado ◽  
Monica Patricia Bejarano-Rosales ◽  
Rafael García Rascón ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Laboratory Parameters ◽  
Complication Risk

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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