Evidence map›Paper›PMID 41383025›Full record

ArticleNursing open2025

The Effect of Emotional Labor on Young Nurses' Job Burnout: The Mediating Role of Social Support and Emotional Regulation.

Yixin Luo, Yiqiu Zhang, Jianing Chen, Guangli Lu, Jie Liu, Chaoran Chen

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

6 authors.

Yixin LuoNursing Department of Huaihe Hospital, Henan University, Kaifeng, Henan, China.
Yiqiu ZhangInstitute of Nursing and Health, School of Nursing and Health, Henan University, Kaifeng, Henan, China.
Jianing ChenInstitute of Business Administration, School of Business, Henan University, Kaifeng, Henan, China.
Guangli LuInstitute of Business Administration, School of Business, Henan University, Kaifeng, Henan, China.
Jie LiuNursing Department of Huaihe Hospital, Henan University, Kaifeng, Henan, China.
Chaoran ChenNursing Department of Huaihe Hospital, Henan University, Kaifeng, Henan, China.ORCID https://orcid.org/0000-0002-6237-2999

Funding

Henan Provincial Department of Science and Technology Soft Science Project 242400410523
6 · The paper itself

Abstract

aimTo evaluate the impact of emotional labor on job burnout among young nurses and investigate the mediating roles of social support and emotional regulation.

designA cross-sectional survey.

methodsThe cross-sectional study recruited 1103 young nurses using convenience sampling from six tertiary-level hospitals in Henan Province, China. Data were collected through an online questionnaire survey, which included a self-administered socio-demographic questionnaire, the Emotional Labor Scale (ELS), the Social Support Scale (SSS), the Emotion Regulation Questionnaire (ERQ) and the Maslach Burnout Inventory Scale (MBI). Statistical analyses were performed using IBM SPSS Statistics 25.0 and AMOS 26.0.

resultsJob burnout had a significant effect on emotional labor, social support and emotional regulation. Mediation analysis revealed that social support and emotional regulation partially mediated the predictive relationship between emotional labor and job burnout. The findings suggest that emotional labor among young nurses indirectly influences their job burnout through social support and emotional regulation. This study provides nursing administrators and healthcare policymakers with a resource to build a supportive environment to increase young nurses' emotional regulation abilities and to decrease their job burnout. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Burnout, ProfessionalEmotional RegulationEmotionsNursesSocial SupportAdultChinaCross-Sectional StudiesFemaleHumansJob SatisfactionMaleSurveys and Questionnaires

Identifiers

PMID41383025
PMCPMC12698953

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.