General self-efficacy modifies the effect of stress on burnout in nurses with different personality types

Yongcheng Yao, Shan Zhao, Xia Gao, Zhen An, Shouying Wang, Hongbin Li, Yuchun Li, Liyun Gao, Lingeng Lu, Ziming Dong, Yongcheng Yao, Shan Zhao, Xia Gao, Zhen An, Shouying Wang, Hongbin Li, Yuchun Li, Liyun Gao, Lingeng Lu, Ziming Dong

Abstract

Background: Burnout is a health problem in nurses. Individuals with a certain personality are more susceptible to job-related burnout. General self-efficacy (GSE) is an important predictor of job-related burnout. The relationships between general self-efficacy, job-related burnout and different personality types are still not clear. This study aims to analyze the relationships of job-related burnout, stress, general self-efficacy and personality types, as well as their interactions in job-related burnout.

Method: A cross-sectional survey of 860 nurses was conducted between June and July 2015 in China. We measured their job-related burnout using the scale of the Maslach Occupational Burnout Scale, and personality, stress, and GSE. Machine learning of generalized linear model were performed.

Results: Maslach Burnout Inventory (MBI) professional efficacy was significantly associated with gender, marital status, age, job title and length of service. A machine learning algorithm showed that stress was the most important factor in job-related burnout, followed by GSE, personality type (introvert unstable), and job title. Individuals with low GSE and either introversion or unstable (high neuroticism) personality seemed to have stronger burnout when they faced stress (regardless of stress intensity) compared to others.

Conclusion: Stress, GSE and introvert unstable personality are the top three factors of job-related burnout. GSE moderates the effect of stress on burnout in nurses with extroversion or neuroticism personality. Reducing stress, increasing GSE, and more social support may alleviate job-related burnout in nurses. Nurses with introvert unstable personality should be given more social support in reducing stress and enhancing their GSE.

Keywords: General self-efficacy; Interaction; Job-related burnout; Machine learning; Nurse; Personality.

Conflict of interest statement

Ethics approval and consent to participate

The procedures followed were in accordance with the ethical standards of the Committee of Xinxiang Medical University, and the study protocol was approved by the committee. The questionnaire had an introductory paragraph explaining the purpose of the survey and the name of the research centre conducting the research, and the responses were anonymous. The researchers’ contact details were given at the end of the questionnaire so that the participants could gain further details about the research if they wished. Completion and return of the questionnaire was viewed as consent to participate.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
The variable importance in job-related burnout. The factors are ranked based on their importance in burnout. The blue bar stands for the factor having a positive coefficient with burnout, while the orange bar stands for the factor having a negative coefficient with burnout
Fig. 2
Fig. 2
Interaction of GSE, stress, extroversion personality on burnout in nurses
Fig. 3
Fig. 3
Interaction of GSE, stress and neuroticism personality on burnout in nurses

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