ArticleNursing open2023
Alzheimer's disease knowledge of nursing staff in East China: A latent profile analysis.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Feasibility randomized controlled trial of a home-based support program for family caregivers of people with Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
- Empowerment among primary caregivers of persons with Alzheimer's disease: associations between disease perception and caregiving partnership.BMC nursing · 2025Article
- Knowledge and attitudes towards Alzheimer's disease among adult residents in Jiulongpo, Chongqing, China: A cross-sectional survey.PloS one · 2025Article
- Knowledge of Alzheimer's disease and associated factors among adults in Zhuhai, China: a cross-sectional analysis.BMC public health · 2024Article
- Alzheimer's disease knowledge of nursing staff in East China: A latent profile analysis.Nursing open · 2023Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe dementia population is expanding fast globally, posing a huge challenge to the healthcare system. Improving the level of Alzheimer's disease knowledge (ADK) in nursing staff is the key to providing quality dementia care and improving the patients' quality of life. This study aimed to investigate and classify the ADK level of nursing staff in East China and to identify the factors influencing the nursing staff's ADK level.
designA cross-sectional study.
methodsA cross-sectional survey was conducted among 1896 nursing staff in East China from September 2022 to December 2022, using a self-designed general information questionnaire and the Chinese version of the Alzheimer's Disease Knowledge Scale. Latent profile analysis (LPA) was used to classify the nursing staff according to their ADK level, and multinomial logistic regression was used to identify the factors influencing the nursing staff's ADK level.
resultsNursing staff could be classified into four latent profiles according to their ADK level (p < 0.05), namely, the 'Low ADK group', 'Medium ADK group', 'Medium-high ADK group', and 'High ADK group'. Age, education, experience in AD care and training in ADK were the main factors influencing the classification of the nursing staff's ADK level. Therefore, upgrading education, participating in ADK training, and increasing AD care experience will be conducive to improving the ADK of nursing staff. No Patient or Public Contribution.
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