Evidence map›Paper›PMID 42211702›Full record

ArticleFrontiers in public health2026

Latent profile analysis of change fatigue among clinical nurses: a cross-sectional study.

Xiangwen You, Haibo Ma, Rong Yan, Miao Yao, Hongyan Lu

Abstract read
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Article in Frontiers in public health, 2026. 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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1citing papers in PubMed
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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiangwen You *General Hospital of Ningxia Medical University, Yinchuan, China.
Haibo Ma *Ningxia Medical University, Yinchuan, China.
Rong YanGeneral Hospital of Ningxia Medical University, Yinchuan, China.
Miao YaoGeneral Hospital of Ningxia Medical University, Yinchuan, China.
Hongyan LuGeneral Hospital of Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To identify latent subgroups of change fatigue among clinical nurses and explore their associations with work engagement. Methods: Between February and May 2025, clinical nurses from 13 public hospitals in Ningxia Hui Autonomous Region, northwestern China, were enrolled using convenience sampling. Data were gathered using a sociodemographic questionnaire, the Chinese version of the Change Fatigue Scale, and the Chinese version of the Utrecht Work Engagement Scale. All analyses were completed in SPSS 26.0 and Mplus 8.1. Latent profile analysis was used to analyze their change fatigue subgroups. The R3STEP method was applied to identify predictors of profile membership, and the BCH method was employed to compare differences in work engagement across subgroups. Results: Of the 2,482 participants, the total score of change fatigue was 26.67 ± 9.97. Three latent subgroups of change fatigue were identified: 'Low change fatigue group' (24.21%), 'Moderate change fatigue group' (46.62%), and 'High change fatigue group' (29.17%). The distribution of these profiles was significantly associated with years of service, hospital grade, monthly income and change exposure. Moreover, these change fatigue profiles were negatively associated with nurse work engagement. Specifically, work engagement was significantly higher in the low change fatigue group than in the moderate and high groups, with no significant difference between the moderate and high groups. Conclusion: Clinical nurses exhibited three distinct change fatigue profiles, highlighting substantial heterogeneity. Years of service, hospital grade, monthly income and change exposure were key demographic predictors of profile membership. The study demonstrates that different change fatigue profiles were significantly associated with work engagement of clinical nurses, suggesting that reducing nurses' change fatigue is essential for improving their work engagement.

Indexed as

FatigueNursing Staff, HospitalWork EngagementAdultChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleSurveys and Questionnaireschange fatigueclinical nursescross-sectional studylatent profile analysiswork engagement

Identifiers

PMID42211702
PMCPMC13212426

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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.