Evidence map›Paper›PMID 41291680›Full record

ArticleBMC nursing2025

Research on fatigue symptom trajectories and influencing factors among nursing undergraduates.

Jinyan Wu, Mengli Zhang, Yanan Yao, Miaomiao Sun, Xiaohui Cao, Ziming Qian, Yuqing Wang, Huan Duan, Fang Xue

Abstract read
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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jinyan Wu *School of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Mengli Zhang *The Third People's Hospital of Bengbu, Bengbu, Anhui, 233000, China.
Yanan YaoSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Miaomiao SunSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Xiaohui CaoSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Ziming QianSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Yuqing WangSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Huan DuanIntensive Care Unit, First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, 233004, China. duanhuan886@sina.com.
Fang XueSchool of Nursing, Bengbu Medical University, Bengbu, Anhui, 233030, China. 0700036@bbmu.edu.cn.

Funding

Anhui Provincial Quality Engineering Project No. 2023jyjxggyjY217
6 · The paper itself

Abstract

backgroundFatigue among nursing undergraduates significantly impacts academic performance, clinical practice, and mental health. Previous studies have predominantly employed cross-sectional designs, overlooking the dynamic and heterogeneous nature of fatigue progression. Identifying distinct fatigue trajectories and their predictors is crucial for developing targeted interventions. This study sought to identify distinct fatigue symptom trajectories among nursing students and to investigate the factors linked to these patterns.

methodsThis study recruited 260 nursing undergraduates at T1 (Week 2 of the semester). Follow-up assessments were conducted at T2 (Week 10 of the semester) and T3 (Week 18 of the semester).Fatigue symptoms were measured using the Multidimensional Fatigue Inventory (MFI).Latent Class Growth Model(LCGM) was employed to identify distinct trajectories of fatigue symptoms among the nursing undergraduates.

resultsLCGM identified three fatigue symptom trajectory classes: High-fatigue-decline group (18.5%), Medium-fatigue-ascending group (45.4%), and Low-fatigue-ascending group (36.1%). Multinomial logistic regression indicated that, at T3, nursing undergraduates with anxiety (OR = 3.233) or insomnia (OR = 2.425)were more likely to be classified into the medium-fatigue-ascending group compared with those in the low-fatigue-ascending group. Furthermore, male students were more likely to be categorized into the medium-fatigue-ascending group rather than the high-fatigue-decline group (OR = 3.356).

conclusionNursing undergraduates display heterogeneous fatigue trajectories, shaped significantly by mental health and sleep quality, with predictors varying across trajectory classes. Tailored interventions based on these patterns are recommended to improve fatigue management and mental health support in nursing education. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

AnxietyFatigue trajectoryInfluencing factorsLatent categoriesUndergraduate nursing students

Identifiers

PMID41291680
PMCPMC12648897

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LicenceCC BY-NC-ND
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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.