Evidence map›Paper›PMID 40520318›Full record

ArticleFrontiers in public health2025

Network analysis of interpersonal conflict, emotional exhaustion and psychological distress among mental health nurses in the workplace: a cross-sectional survey.

Fangxinrui Qiu, Yuan Li, Chunfen Zhou, Yidan Sun, Jie Li, Jiao Tang

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing 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

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fangxinrui QiuInternational Medical College of Chongqing Medical University, Chongqing, China.
Yuan LiDepartment of Nursing, West China Second University Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
Chunfen ZhouMental Health Center, West China Hospital, Sichuan University, Chengdu, China.
Yidan SunDepartment of Toxicology/Nephrologyental, West China Fourth Hospital of Sichuan University, Chengdu, China.
Jie LiMental Health Center, West China Hospital, Sichuan University, Chengdu, China.
Jiao TangSchool of Nursing, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health nurses (MHNs) frequently engage in intense interpersonal interactions and encounter various forms of conflict with patients, colleagues, and their families. These conflicts can disrupt workplace harmony and significantly affect nurses' mental wellbeing. This study aims to analyze how workplace interpersonal conflicts affect nurses' emotional exhaustion and psychological distress through structural network analysis. Methods: A cross-sectional descriptive correlational survey was conducted using the Customer Interpersonal Injustice Scale, Interpersonal Conflict at Work Scale, Bi-directional Work-Family Conflict Scale, Maslach Burnout Inventory (emotional exhaustion sub-scale), and the 6-item Kessler Psychological Distress Scale. The survey was completed by 858 MHNs and 643 non-MHNs across six comprehensive hospitals and nine psychiatric hospitals from western China. Results: 5.1% of all participants reported severe distress. Emotional exhaustion and psychological distress were associated with lower subjective social status, more severe conflicts with patients and supervisors, and bidirectional work-family conflict. Key risk factors for severe psychological distress included being an MHN, patient mistreatment, and bidirectional work-family conflict, while higher subjective social status was a protective factor. Network analysis showed no significant differences in conflict structures between MHNs and non-MHNs. Within the network, the work-to-family conflict most significantly impacted emotional exhaustion, while emotional exhaustion had the greatest influence on psychological distress. Conclusion: This study revealed that MHNs experienced a higher rate of severe psychological distress than non-MHNs, with emotional exhaustion and psychological distress closely associated with subjective social status and interpersonal conflict. Given that work-to-family conflict and emotional exhaustion were key nodes in the network, targeted interventions are urgently needed to alleviate psychological distress.

Indexed as

Burnout, ProfessionalConflict, PsychologicalInterpersonal RelationsPsychiatric NursingPsychological DistressWorkplaceAdultChinaCross-Sectional StudiesEmotional ExhaustionFemaleHumansMaleMiddle AgedSurveys and Questionnairesburnoutemotional exhaustioninterpersonal conflictmental health nursespsychological distress

Identifiers

PMID40520318
PMCPMC12162648

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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.