Evidence map›Paper›PMID 42293875›Full record

ArticleFrontiers in psychology2026

Work engagement and associated factors of nurses: a structural equation model.

Xinmin Zhang, Dan Zhong, Cuicui Li, Yongai Zhang, Miaomiao Zhang, Jintian Zhong

Abstract read
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Article in Frontiers in psychology, 2026. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xinmin Zhang *Pediatric Orthopedic Hospital, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Dan Zhong *Pediatric Orthopedic Hospital, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Cuicui LiPediatric Orthopedic Hospital, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yongai ZhangThe Faculty of Nursing and Rehabilitation, Xi'an Medical University, Xi'an, Shaanxi, China.
Miaomiao ZhangPediatric Orthopedic Hospital, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jintian ZhongPediatric Orthopedic Hospital, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the associated factors of work engagement among nurses in tertiary hospitals. Background: In recent years, the demands for nursing professional skills and quality have gradually increased. Nurses are required to master continuously updated medical knowledge while facing high-intensity work, which may lead to occupational burnout and turnover. Work engagement reflects nursing quality and work enthusiasm and is an important predictor of nurse turnover. Therefore, understanding its current status and associated factors is crucial. Methods: Using convenience sampling, licensed nurses were selected from Xi'an Honghui Hospital in Shaanxi Province, China. A general information questionnaire and structured questionnaires were used to collect data on demographics, thriving at work, work engagement, self-efficacy, and leisure crafting. A model was constructed to test the research hypotheses. Descriptive analysis was conducted using SPSS 26.0, while AMOS 24.0 was utilized for the verification and analysis of structural equation modeling. Results: A total of 1,055 questionnaires were distributed, with 1,007 valid responses collected, yielding an effective response rate of 95.45%. The final model explained 80.5% of the total variance in nurses' work engagement. Nurses' self-efficacy (B = 0.574, Conclusion: Chinese nurses exhibit a moderately high level of work engagement, influenced by multiple factors, with thriving at work having the greatest impact. Implications for nursing management: Nursing managers should prioritize enhancing nurses' self-efficacy, encourage reasonable leisure crafting to balance work and life and alleviate work stress, and pay attention to nurses' thriving at work by providing good career development opportunities. These measures can effectively improve nurses' work engagement levels.

Indexed as

leisure craftingnursesself-efficacythriving at workwork engagement

Identifiers

PMID42293875
PMCPMC13261812

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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.