ArticleNursing open2023
Anxiety subtypes in rural ischaemic stroke survivors: 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 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors influencing digital health literacy in stroke patients based on social cognitive theory: a mixed-methods systematic review.Frontiers in public health · 2026Pooled it
- Profiles of Quality of Life Outcomes Observed in Rehabilitation Patients Using Latent Profile Analysis.Archives of physical medicine and rehabilitation · 2026Article
- Profiles of Innovative Behaviour Among Community Nurses and Associated Factors: A Cross-Sectional Study.Nursing open · 2026Article
- A latent profile analysis of health behaviors among rural patients with ischemic stroke in China.Frontiers in public health · 2026Article
- Latent profile analysis and influencing factors of post-traumatic stress disorder symptoms in young and middle-aged spinal cord injury patients.BMC psychiatry · 2025Article
- Patient perceived service quality profiles of primary health care associated with usual source of care: a latent profile analysis.Frontiers in medicine · 2025Article
- Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients.Sensors (Basel, Switzerland) · 2023Article
- Article
- Latent profile analysis of emergency department presentation characteristics in patients with acute ischemic stroke.Frontiers in neurologyArticle
- Exploring Health Literacy Heterogeneity in Prehypertension: Tailored Intervention Strategies Based on Latent Profile Analysis.The Journal of cardiovascular nursingArticle
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
aimTo determine the potential profile classes of anxiety reported by ischaemic stroke survivors in rural China, and to explore the characteristics of patients having different types of post-stroke anxiety.
designA cross-sectional survey.
methodsA cross-sectional survey was conducted by using convenience sampling to collect data from 661 ischaemic stroke survivors in rural Anyang city, Henan Province, China, from July 2021 to September 2021. The parameters included in the study were the socio-demographic characteristics, self-rating anxiety scale (SAS), self-rating depression scale (SDS) and the Barthel index of daily activity ability. Potential profile analysis was done to recognize subgroups of post-stroke anxiety. The Chi-square test was performed to explore the characteristics of individuals with different types of post-stroke anxiety.
resultsThe model fitting indices of stroke survivors supported three classes of anxiety models which were as follows: (a) Class 1, low-level, stable group (65.3%, N = 431); (b) Class 2, moderate-level, unstable group (17.9%, N = 118) and (c) Class 3, high-level, stable group (16.9%, N = 112). The risk factors associated with post-stroke anxiety were female patients, lower levels of education, living alone, lower monthly household income, other chronic diseases, impaired daily activity ability and depression.
conclusionsThis study identified three different subgroups of post-ischaemic stroke anxiety and their characteristics in patients in rural China. IMPACT: This study has significance in providing evidence for the development of targeted intervention measures to reduce negative emotions in different subgroups of post-stroke anxiety patients. PATIENT OR PUBLIC CONTRIBUTION: In this study, the researchers arranged the time of questionnaire collection with the village committee in advance, gathered the patients to the village committee for face-to-face questionnaire survey and collected the household data of the patients with mobility difficulties.
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