Evidence map›Paper›PMID 41680814›Full record

ArticleBMC nursing2026

Self-efficacy in nutritional care for older adults among hospital-based nurses: a latent profile and network simulation analysis.

Lan-Zhi Wei, Mei-Chan Chong, Xing-Xing Lu, Nadeeka Shayamalie Gunarathne, Shu-Wen Ren

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Article in BMC nursing, 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.

Lan-Zhi WeiDepartment of Nursing Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0009-0005-2931-6433
Mei-Chan ChongDepartment of Nursing Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-8599-3018
Xing-Xing LuZhenjiang First People's Hospital, Zhenjiang, 212000, China. Lxx15862989179@163.com.ORCID http://orcid.org/0009-0008-0963-5412
Nadeeka Shayamalie GunarathneDepartment of Nursing Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-4948-2202
Shu-Wen RenMedical College of Jiangsu University, Zhenjiang, China.ORCID http://orcid.org/0009-0006-1338-3575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition among older adults remains a critical concern. Nurses play a key role in its prevention, yet their self-efficacy in nutritional care is often overlooked. PURPOSE: To identify classes of self-efficacy in nutritional care for older adults among nurses and determine key intervention targets for each class.

methodA cross-sectional online survey was conducted between August and October 2024 using convenience sampling. A total of 510 nurses from different hospital grades in Jiangsu Province, China, completed a general information questionnaire and the Self-Efficacy Scale for Nursing Nutrition Care (SE-NNC). Latent profile analysis identified classes of self-efficacy, and two types of simulated interventions (weakened and enhanced) were conducted to explore key targets within each class.

resultsThree classes of SE-NNC were identified: low (15.9%), moderate (49.2%), and high (34.9%). Detecting early signs of nutritional changes in older adults and interpreting anthropometric and muscle condition indices were key intervention targets in the overall population. Organizing mealtimes to facilitate complete intake and supporting older adults with personalized meal interventions were the most critical targets in the low and moderate SE-NNC, respectively. Evaluating adherence to nutrition recommendations and detecting early nutritional changes were the main focus areas in the high SE-NNC.

conclusionThree distinct SE-NNC patterns were identified, with five key traits representing potential intervention targets for improving the self-efficacy of nurses in providing nutrition care for older adults. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Computer-simulated network analysisLatent profile analysisNurseNutritionSelf-efficacy

Identifiers

PMID41680814
PMCPMC12998110

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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.