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Aim To 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. Design A cross‐sectional survey. Methods A 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. Results The 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. Conclusions This 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.

Objectives:This study aimed to investigate the mediating roles of coping styles and stroke knowledge between social support and uncertainty in illness among patients with primary stroke in China. Methods:The total of 204 Chinese primary stroke patients recruited using convenience sampling were asked to answer Mishel Uncertainty in Illness Scale for Adult(MUIS-A), Stroke Knowledge Questionnaire(SKQ), Social Support Rating Scale(SSRS), and Medical Coping Modes Questionnaires (MCMQ). Demographics characteristics of the patients were presented using descriptive statistics. We reported the relationship between the study variables using Pearson’s Correlation Coefficients. We performed structural equation modeling to estimate the mediator effect of coping styles and stroke knowledge between social support and uncertainty in illness.Results: The results showed that 92% of patients with primary stroke had moderate above level of uncertainty in illness, with a mean score 75.04 (SD=9.61).Uncertainty was positively associated with coping styles (r=0.232, P＜0.01), and negatively associated with social support(r=-0.237, P＜0.01) and stroke knowledge (r=-0.386, P＜0.01).The structural equation model indicated that the coping styles(19.8% of total effect) and stroke knowledge (38.5% of total effect)respectively acted as mediator role between social support and uncertainty in illness.Conclusions:Most patients with primary stroke present moderate above level of uncertainty in illness. stroke knowledge and coping styles were important mediating factors in the pathway between coping styles and uncertainty in illness. Our findings suggest the provision of stroke knowledge and training of coping styles for patients with primary stroke could alleviate their uncertainty in illness.

Falls are a great concern for poststroke patients. Various interventions have been developed over the past few decades to prevent falls. However, the effectiveness of these interventions remains to be investigated. These authors aimed to evaluate the effects of exercise interventions on the prevention of poststroke falls. CNKI, Wan Fang, VIP, SinoMed, PubMed, Embase, Cochrane Library, and CINAHL were searched for randomized controlled trials (RCTs) on the prevention of falls after stroke from inception to September 2021. The primary result was the number of falls. Two reviewers independently screened and extracted data and assessed the risk of bias for all studies. In Stata 15.1, the effects of multiple interventions were compared using Bayesian networks. A total of 15 RCTs with 8 kinds of exercise interventions were included. Balance training (BT) was the most effective way to prevent falls (odds ratio [OR] = 0.24, 95% confidence interval [CI] = 0.13-0.46, p < 0.05). Moreover, cognition and movement multitask training (CMM) (OR = 0.30, 95% CI = 0.09-0.96, p < 0.05); Multimodal Exercise (OR = 0.31, 95% CI = 0.11-0.84, p < 0.05) and Resistance Exercise (OR = 0.35, 95% CI = 0.15-0.84, p < 0.05) were ranked as second, third and fourth most effective, respectively. The effect of Walking-based Intervention was the worst (OR = 1.63, 95% CI = 0.57-4.67, p > 0.05). BT and CMM are the preferred exercise interventions for the prevention of poststroke falls. A further investigation is needed to compare the effectiveness between BT and CMM for populations at high risk of falling after stroke.