Evidence map›Paper›PMID 42760080›Full record

ArticleBMJ open2026

Learning engagement and its associated factors among nursing students in China: a cross-sectional study based on latent profile analysis.

Yu-Lu Xie, Xu-Hua Zhou, Ying-Jun Zhang, Yan-Jia Li, Lin Chen

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Article in BMJ open, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yu-Lu XieHemodialysis Center, Department of Nephrology, Sichuan University/West China School of Nursing, Sichuan University, West China Hospital, Chengdu, Sichuan, China.ORCID http://orcid.org/0009-0004-5632-7982
Xu-Hua ZhouHemodialysis Center, Department of Nephrology, Sichuan University/West China School of Nursing, Sichuan University, West China Hospital, Chengdu, Sichuan, China.
Ying-Jun ZhangHemodialysis Center, Department of Nephrology, Sichuan University/West China School of Nursing, Sichuan University, West China Hospital, Chengdu, Sichuan, China.
Yan-Jia LiEmergency Department, Sichuan Taikang Hospital, Chengdu, Sichuan, China.
Lin ChenHemodialysis Center, Department of Nephrology, Sichuan University/West China School of Nursing, Sichuan University, West China Hospital, Chengdu, Sichuan, China clhxxuetou@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the latent profiles of nursing students' learning engagement and clarify the factors related to these distinct profiles.

designA cross-sectional study. SETTINGS: Four nursing schools in Sichuan Province, China.

participantsA convenience sample of 1250 full-time nursing students.

methodsDemographic characteristics, future time perspective, academic delay of gratification and learning engagement of nursing students were assessed using self-reported questionnaires. A latent profile analysis was used to identify the latent profiles of learning engagement among nursing students and use multivariate logistic regression to examine the factors associated with these identified traits.

resultsThree profiles of learning engagement were identified based on the nursing students' responses to the learning engagement assessment, designated as 'low learning engagement group' (8.4%), 'moderate learning engagement group' (59.8%) and 'high learning engagement group' (31.8%). Multinomial logistic regression showed that, relative to the high learning engagement group, junior college qualification (OR=0.505, 95% CI 0.268 to 0.951, p=0.034) and higher academic delay of gratification (OR=0.959, 95% CI 0.927 to 0.991, p=0.013) were associated with lower odds of low engagement, while student leadership (OR=0.801, 95% CI 0.675 to 0.954, p=0.011) and higher future time perspective (OR=0.987, 95% CI 0.978 to 0.997, p=0.008) were associated with lower odds of moderate engagement.

conclusionMost nursing students were categorised into the moderate learning engagement group. Compared with the high learning engagement group, junior college qualification and academic delay of gratification were associated with lower odds of being classified into the low engagement group. Likewise, student leadership and future time perspective showed lower odds of being classified into the moderate engagement group. Future time perspective and academic delay of gratification show positive correlations with learning engagement, suggesting that these factors may be relevant targets for further research.

Indexed as

LearningStudents, NursingAdultChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleSurveys and QuestionnairesYoung AdultMEDICAL EDUCATION & TRAININGPsychometricsQuality Improvement

Identifiers

PMID42760080
PMCPMC13599931

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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.