Burnout and Personality Profiles Among Chinese Nurses
2024

Burnout and Personality Profiles Among Chinese Nurses

Sample size: 1423 publication Evidence: high

Author Information

Author(s): Zhang Sijun, Xiao Ke, Tian Zhen, Fernández-Jiménez Eduardo, González-Sanguino Clara

Primary Institution: Institute of Educational Sciences, Hunan University

Hypothesis

This study aimed to determine personality profiles based on the Big Five personality model in a sample of Chinese nurses and analyze the relationship between burnout and personality profiles and demographics.

Conclusion

Nurses with a distressed personality profile were highly susceptible to burnout, while those with a resilient personality profile had a significantly lower risk of burnout.

Supporting Evidence

  • Nurses with a distressed personality profile were 4.52 times more likely to be diagnosed with burnout than those with an ordinary profile.
  • Nurses with a resilient personality profile had a 55% reduction in burnout compared to those with an ordinary profile.
  • Cluster analysis identified three personality profiles: resilient, ordinary, and distressed.

Takeaway

This study found that nurses can be grouped into three personality types, and those with a distressed personality are more likely to feel burned out.

Methodology

The study used a quantitative, correlational, and cross-sectional design with a questionnaire to assess personality profiles and burnout levels among nurses.

Potential Biases

Self-reported inventories may lead to misdiagnosis of burnout.

Limitations

The study was limited to nurses from tertiary hospitals in one province in China and had a small number of male participants.

Participant Demographics

Of the 1423 nurses, 24 were male, 1388 were female, with an average age of 31.3 years.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.3390/bs14121117

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication