Evidence map›Paper›PMID 42536152›Full record

ArticleSocial psychiatry and psychiatric epidemiology2026

Network analysis of the relationships between psychological capital and emotional exhaustion in clinical nurses during the post-epidemic period.

Chao Wu, Ning Zha, Kai Zhang, Mei Wang, Shuai He, Xiaohan Shi, Jing He, Yifei Wang, Hongjuan Lang

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Article in Social psychiatry and psychiatric epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chao Wu *Nursing Department, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Ning Zha *Nursing Department, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Kai Zhang *Nursing Department, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Mei WangNursing Department, Air Force Medical University, Xi'an, 710032, Shaanxi, China.
Shuai HeXi'an Key Laboratory of Metabolic Disease Imaging, Xi'an No. 3 Hospital, Affiliated Hospital of Northwest University, Xi'an, China.
Xiaohan ShiHealthcare Center for Military Personnel, Tangdu Hospital, Xi'an, 710032, Shaanxi, China.
Jing HeDepartment of Laboratory, The Affiliated Hospital of Yan'an University, Yan'an, 716000, Shaanxi, China. 50509533@qq.com.
Yifei WangDepartment of Military Medical Psychology, Air Force Medical University, No. 169 Changle West Road, Xi'an, 710032, Shaanxi, China. 1987389805@qq.com.
Hongjuan LangNursing Department, Air Force Medical University, Xi'an, 710032, Shaanxi, China. Langhj@fmmu.edu.cn.

Funding

The research was funded by the Development Mechanism and Adjustment Strategy of Nursing Staff Burnout in the post-epidemic Era 2023KXKT018
6 · The paper itself

Abstract

objectivesPost-pandemic, nurses are at high risk of psychological issues and emotional exhaustion. Existing research predominantly uses total scores to explore the link between psychological capital and emotional exhaustion. Network-analysis research on this relationship among post-pandemic nurses is scarce. Our study fills this gap with network analysis, aiming to uncover variable relationships, understand interaction mechanisms, and develop targeted interventions to boost nurses' psychological resilience. STUDY

designA cross-sectional survey design.

methodsA cross-sectional survey was conducted from December 2022 to January 2023 on 1185 frontline clinical nurses working specifically in COVID-19 wards from 5 hospitals in Xi'an, China. The clinical nurses were selected using the convenience sample approach through online platforms upon the notice of hospital administrators. Psychological capital and emotional exhaustion were assessed using the Psychological Capital Questionnaire and the Chinese Maslach Burnout Inventory (CMBI). Network analyses were used for the statistical analysis.

resultsFrom a network analysis perspective, "I feel exhausted " (Q3) and "I am optimistic about the future of my job" (X22) have the highest expected influence, suggesting their most significance in the network. In the community of emotional exhaustion, the statement "I feel very tired " (Q1) has the highest bridge expected influence, while in the community of psychological capital, the statement "When I have a setback at work, I have a hard time recovering from it " (X13) has the highest bridge expected influence, indicating they have the strongest connections with the other community.

conclusionsComplex patterns of relationships emerged between psychological capital and emotional exhaustion. These results have significant implications for clinical practice in the post-epidemic era. Stress management workshops with relaxation techniques and training on building psychological capital, including cultivating optimism and providing resilience training, could be implemented.

Indexed as

BurnoutNetwork analysesNursesProfessionalPsychological capital

Identifiers

PMID42536152

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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 Socratic graph.