Evidence map›Paper›PMID 41292088›Full record

ArticleThe journal of nursing research : JNR2025

Emotional Support, Emotional Exhaustion, Mental Health, and Turnover Intention Among China Nurses in Emergency Departments: A Cross-Sectional Survey.

Jing Li, Qiuxiang Zhang, Yinglong Duan, Mingyue Huang, Meiying Guo

Abstract read
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Article in The journal of nursing research : JNR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jing LiNursing Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0001-9633-140
Qiuxiang ZhangNursing Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0002-8772-1235
Yinglong DuanEmergency Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0001-7126-2479
Mingyue HuangXiangya School of Nursing, Central South University, Changsha, China.ORCID 0009-0005-3484-3756
Meiying GuoEmergency Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0009-0005-3484-3756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsIn China, emergency department (ED) nurses frequently face high turnover rates and emotional exhaustion, phenomena that are intensified by the demanding nature of their roles. While emotional exhaustion significantly influences nurses intention to leave, the potential mitigating effects of factors such as emotional support have not been thoroughly explored. PURPOSE: This study was designed to investigate the mediating role of emotional support between emotional exhaustion and turnover intention among ED nurses in China and to examine the factors of influence on turnover intention.

methodsA cross-sectional research design was used to collect data from 427 ED nurses from different hospitals across China using convenience sampling. The research instruments used included the Emotional Support Scale, Emotional Exhaustion Scale, Self-Rated Mental Health Status Scale, and Turnover Intention Scale.

resultsThe findings showed not proactively having chosen a career in nursing (β=0.096, p<.05), greater emotional exhaustion (β=0.318, p<.001), satisfactory economic status (β=-0.196, p<.001), better physical condition (β=-0.128, p<.05), and more emotional support (β=-0.092, p=.032) to correlate negatively with turnover intention and emotional support to mediate the relationship between emotional exhaustion and intention to leave (β=-0.095, Bootstrap 95% CI [-0.152, -0.046], p<.001), accounting, collectively, for 34.8% of the total effect (β=-0.273, Bootstrap 95% CI [-0.364, -0.175], p=.002).

conclusionsEnhancing emotional support reduces turnover intention by mitigating the effects of emotional exhaustion on ED nurses in China. Targeted interventions that bolster emotional support systems, together with strategies that address financial satisfaction and physical well-being, will be essential to enhancing both nursing staff retention and overall patient care quality in China's demanding health care environment.

Indexed as

Burnout, ProfessionalMental HealthNursing Staff, HospitalPersonnel TurnoverSocial SupportAdultChinaCross-Sectional StudiesEmergency Service, HospitalEmotional ExhaustionFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and Questionnairesconservation of resources theoryemergency department nursesemotional exhaustionemotional supportturnover intention

Identifiers

PMID41292088
PMCPMC12662123

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.