The mediating effect of psychological flexibility on fatigue and depressive symptoms among nursing staff

• Authors: Yongcheng Yao , Jie Tang , Hongling Meng , Yuping Li , Haixia Du , Zhenzhen Li

Abstracts

EN

Objectives To explore the relationship between depressive symptoms, fatigue and psychological flexibility, as well as their interactions on depression in Chinese nurses. Material and Methods Using convenience sampling, a cross-sectional survey of 796 nurses in municipal hospitals of Zhengzhou, Henan Province, China, was conducted. The questionnaires of Work-related Acceptance and Action Questionnaire, Center for Epidemiological Studies Depression Scale and Fatigue Assessment Instrument were used. Hierarchical regression and bootstrap methods were used to examine the mediating effect of psychological flexibility between fatigue and depression. Results More than 51.8% of the nurses were at risk of depression and 62.3% were at risk of fatigue. There was a significantly positive and moderate correlation between depression and fatigue severity, situation specificity, and consequences (r = 0.43, r = 0.24 and r = 0.31, respectively, p < 0.01). Depression was negatively correlated with psychological flexibility (r = –0.28, p < 0.01). Psychological flexibility had a negative impact on depression with the explained variance increased by 4.2% (β = –0.211, p < 0.001). The bootstrap method showed that the mediating effect of psychological flexibility accounting for 8.5% and 12.3% on fatigue and depressive symptoms, respectively. Conclusions Psychological flexibility plays a partial mediating role between the fatigue severity, consequences of fatigue and depressive symptoms of nurses. Hospital managers should improve medical staff work acceptance to alleviate their depressive symptoms.

Keywords

EN

fatigue; depressive symptoms; nurses; bootstrap; psychological flexibility; mediating effect

• Publisher: Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
• Journal: International Journal of Occupational Medicine and Environmental Health
• Year: 2023
• Volume: 36
• Issue: 4
• Pages: 563-574

Dates

published

2023

Contributors

author

Yongcheng Yao

• Zhengzhou Normal University, Zhengzhou, China (School of Mathematics and Statistics)

author

Jie Tang

• Zhengzhou University of Technology, Zhengzhou, China (Library)

author

Hongling Meng

• Zhengzhou Normal University, Zhengzhou, China (School of Mathematics and Statistics)

author

Yuping Li

• Zhengzhou Normal University, Zhengzhou, China (School of Mathematics and Statistics)

author

Haixia Du

• Zhengzhou Normal University, Zhengzhou, China (School of Mathematics and Statistics)

author

Zhenzhen Li

• Zhengzhou Normal University, Zhengzhou, China (School of Mathematics and Statistics)

Identifiers

DOI

10.13075/ijomeh.1896.02073

Biblioteka Nauki

21375407