Evidence map›Paper›PMID 40074257›Full record

ArticleBMJ open2025

Work engagement among new nurses in China: a latent profile analysis.

Xiaoyue Xiong, Xuan Huang, Chongqing Shi, Zhangtai Xu, Xiang Rao

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Xiaoyue XiongInstitute of Nursing Research, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, Wuhan University of Science and Technology,430065, Wuhan, China.
Xuan HuangYaxin School of Nursing,Wuhan Institute of Design and Sciences,430200, Wuhan, China.
Chongqing ShiInstitute of Nursing Research, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, Wuhan University of Science and Technology,430065, Wuhan, China shichongqing@wust.edu.cn.ORCID http://orcid.org/0000-0003-3104-7541
Zhangtai XuInstitute of Nursing Research, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Medicine, Wuhan University of Science and Technology,430065, Wuhan, China.
Xiang RaoZhejiang Province First People's Hospital of Wuyi County, Wuyi, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify different work engagement profiles among new nurses in China and explore demographic and personal factors that predict different work engagement profiles.

designA cross-sectional study.

methodsFrom 1 April to 30 June 2022, a cross-sectional survey was conducted in 11 tertiary hospitals across five provinces in China. Using a convenience sampling method, 662 new nurses were recruited to participate. Data were collected using standardised instruments, including the Work Engagement Scale, the Difficulties in Emotion Regulation Scale and the Job Crafting Scale. Latent profile analysis was employed to identify latent profiles of work engagement among new nurses, and multinomial logistic regression analysis was used to examine predictors of different work engagement profiles.

resultsThis study identified three potential profiles of work engagement among new nurses, namely the 'low work engagement group' (15%), the 'moderate work engagement group' (62%) and the 'high work engagement group' (23%). Independent nursing work, emotion regulation training, difficulties in emotion regulation and job crafting were predictors of different work engagement profiles.

conclusionsNursing supervisors are advised to pay more attention to and help new nurses who work independently, strengthen relevant training on emotion regulation strategies for new nurses and construct intervention strategies based on job crafting, so as to improve the work engagement level of new nurses.

Indexed as

NursesNursing Staff, HospitalWork EngagementAdultChinaCross-Sectional StudiesEmotional RegulationFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and QuestionnairesYoung AdultChinaClinical Decision-MakingNurses

Identifiers

PMID40074257
PMCPMC11904320

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.