Evidence map›Paper›PMID 41280180›Full record

ArticleFrontiers in psychology2025

The relationship between emotional exhaustion and job embeddedness in nurses: the mediating role of decent work perception and the moderating role of job crafting.

Dinuo Xin, Dina Xin, Meirong Bian, Wanling Li, Jinyan Niu

Abstract read
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Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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.

Dinuo Xin *Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, Shanxi, China.
Dina Xin *Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, Shanxi, China.
Meirong BianDepartment of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, Shanxi, China.
Wanling LiDepartment of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, Shanxi, China.
Jinyan NiuDepartment of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Nurse turnover is a global challenge facing healthcare systems, severely impacting the stability of nursing teams and the quality of care. Job embeddedness is a key predictor of nurse retention. This study aims to explore the relationship between nurses' emotional exhaustion and job embeddedness and to analyze the mediating and moderating roles of decent work perception and job crafting in this relationship. Methods: This was a multicenter cross-sectional study. From February to March 2025, an online questionnaire was administered to 653 nurses from three general hospitals in Shanxi Province, China, using convenience sampling. The questionnaire consisted of the Demographic Information Questionnaire, Emotional Exhaustion Scale, Decent Work Perception Scale, Job Crafting Scale, and Job Embeddedness Scale. The mediating and moderating effects were tested via the PROCESS Macro 4.1 (Model 4 and Model 5) of SPSS 27.0. Results: There was a significant negative correlation between nurses' emotional exhaustion and job embeddedness ( Conclusion: Based on the results of this study, nursing managers should develop and adopt comprehensive and effective intervention strategies to reduce nurses' emotional exhaustion, stimulate their level of decent work perception and job crafting to improve their job embeddedness, and ultimately stabilize the nursing workforce.

Indexed as

decent workemotional exhaustionjob crafting cross-sectional studiesjob embeddednessnurses

Identifiers

PMID41280180
PMCPMC12631455

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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.