Evidence map›Paper›PMID 39882135›Full record

ArticleFrontiers in public health2024

The relationship between impostor phenomenon and emotional exhaustion among Chinese nurses: the mediating role of bi-directional work-family conflict.

Yuan Li, Fangxinrui Qiu, Biru Luo, Yanling Hu, Jie Li, Ying Xin Li, Ping He, Jinbo Fang

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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yuan Li *Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Fangxinrui Qiu *The International Medical College of Chongqing Medical University, Chongqing, China.
Biru LuoDepartment of Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Yanling HuDepartment of Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Jie LiWest China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Ying Xin LiDepartment of Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
Ping HeDepartment of Nursing, The People's Hospital of Jianyang City, Jianyang, China.
Jinbo FangWest China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The study aims to explore the relationship between impostor phenomenon and emotional exhaustion among nurses and to examine the potential mediating role of bi-directional work-family conflict. Methods: A cross-sectional survey using convenience sampling was conducted from January to April 2023, involving 4,088 Chinese nurses. Of those, 3,977 nurses across 43 public hospitals completed the web-based survey that included a sociodemographic information questionnaire, the short Clance Impostor Phenomenon Scale, the Bi-directional Scale of Work-Family Conflict, and the Emotional Exhaustion Scale. SPSS with Hayes's PROCESS v4.2 Macro was employed to examine the mediation model using bootstrap techniques. Results: After controlling for confounding factors, impostor phenomenon was found to have a direct positive effect on emotional exhaustion (𝛽 = 0.134, 95% CI [0.122 to 0.145]); the two dimensions of work-family conflict, work interfering with family (𝛽 = 0.099, 95% CI [0.090 to 0.109]) and family interfering with work (𝛽 = 0.017, 95% CI [0.012 to 0.022]), served as parallel mediators in the relationship between impostor phenomenon and emotional exhaustion. Compared to family interfering with work, impostor phenomenon had a greater influence on emotional exhaustion through the mediation of work interfering with family, with a difference in the mediating effects of 0.082 (95% CI [0.073 to 0.096]). (The symbol Conclusion: This study reveals that impostor phenomenon not only directly affects emotional exhaustion but also exerts parallel mediation effects through bi-directional work-family conflict, with work interfering with family exerting a stronger mediating effect than family interfering with work. The findings elucidate the complex interplay between impostor phenomenon, an intrapersonal psychological factor, and work-family conflict, an interpersonal stressor, in contributing to emotional exhaustion among Chinese nurses, providing valuable insights to guide efforts aimed at safeguarding nurses' mental health and well-being.

Indexed as

Burnout, ProfessionalFamilyNursesNursing Staff, HospitalWork-Life BalanceAdultChinaConflict, PsychologicalCross-Sectional StudiesEast Asian PeopleEmotional ExhaustionEmotionsFemaleHumansMaleMiddle AgedChinese nursesemotional exhaustionimpostor phenomenonmediation effect analysiswork–family conflict

Identifiers

PMID39882135
PMCPMC11774991

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.