scholarly journals Prevalence of depressive symptoms and work-related risk factors among nurses in public hospitals in southern China: A cross-sectional study

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Yanhong Gong ◽  
Tieguang Han ◽  
Xiaoxv Yin ◽  
Guoan Yang ◽  
Runsen Zhuang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Southern China ◽  
Cross Sectional Study ◽  
Public Hospitals ◽  
Sectional Study ◽  
Cross Sectional ◽  
Work Related ◽  
Related Risk

scholarly journals Work-Related Risk Factors of Knee Meniscal Tears in Korean Farmers: A Cross-Sectional Study

2020 ◽  
Vol 11 (4) ◽  
pp. 485-490
Author(s):  
Chae Young Hong ◽  
Chul Gab Lee ◽  
Dong Hwi Kim ◽  
Yong Soo Cho ◽  
Kweon Young Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Meniscal Tears ◽  
Cross Sectional ◽  
Work Related ◽  
Related Risk

scholarly journals Individual and work related risk factors for neck pain among office workers: a cross sectional study

2006 ◽  
Vol 16 (5) ◽  
pp. 679-686 ◽  
Author(s):  
B. Cagnie ◽  
L. Danneels ◽  
D. Van Tiggelen ◽  
V. De Loose ◽  
D. Cambier
Keyword(s):  
Risk Factors ◽  
Neck Pain ◽  
Cross Sectional Study ◽  
Office Workers ◽  
Sectional Study ◽  
Cross Sectional ◽  
Work Related ◽  
Related Risk

scholarly journals Prevalence of Anxiety and Depressive Symptoms and Related Risk Factors among Physicians in China: A Cross-Sectional Study

PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e103242 ◽  
Author(s):  
Yanhong Gong ◽  
Tieguang Han ◽  
Wei Chen ◽  
Hassan H. Dib ◽  
Guoan Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related 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.

scholarly journals Work-related psychosocial risk factors and psychiatric disorders: A cross-sectional study in the French working population

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233472
Author(s):  
Astrid M. Chevance ◽  
Oumou S. Daouda ◽  
Alexandre Salvador ◽  
Patrick Légeron ◽  
Yannick Morvan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Psychiatric Disorders ◽  
Cross Sectional Study ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Sectional Study ◽  
Working Population ◽  
Cross Sectional ◽  
Work Related
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