ArticleJMIR formative research2024
Factors Influencing Poststroke Cognitive Dysfunction: Cross-Sectional Analysis.
Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Psychometric properties comparison of EQ-5D-Y-3L and CHU-9D in children with adenoid hypertrophy.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- [Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Review
- Accessibility features in executive function apps and user performance post-stroke.Scientific reports · 2026Article
- Impact of hyperbaric oxygen therapy on serum lipid profiles and cognitive recovery in patients with post-stroke cognitive impairment: a retrospective cohort study.American journal of translational research · 2026Article
- Health Literacy and Cognitive Disorders in Diabetic Patients.Journal of clinical medicine · 2025Article
- Models and mechanisms of post-stroke dementia and cognitive impairment.Frontiers in stroke · 2025Article
- Association of physical activity level and all-cause mortality among stroke survivors: evidence from NHANES 2007-2018.Environmental health and preventive medicine · 2025Article
- Zinc deficiency and risk of intracerebral hemorrhage: a retrospective cohort study.Frontiers in nutrition · 2025Article
- Effectiveness of Structured Memory Training on Cognitive Recovery in Stroke Survivors: A Quasi-Experimental Study.Sage open agingArticle
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Abstract
backgroundPoststroke cognitive impairment (PSCI) is a common and debilitating complication that affects stroke survivors, impacting memory, attention, and executive function. Despite its prevalence, the factors contributing to PSCI remain unclear, with limited insights into how demographic and clinical variables influence cognitive outcomes.
objectiveThis study investigates the incidence of cognitive impairment in patients with stroke and examines key demographic and clinical factors, such as age, gender, and education level, which contribute to cognitive decline. The aim is to provide a deeper understanding of PSCI to inform early intervention strategies for improving patient outcomes.
methodsA cross-sectional study was conducted on 305 patients with ischemic stroke admitted to Zhongda Hospital, Southeast University, from January 2019 to September 2022. Cognitive function was assessed using the Mini-Mental State Examination (MMSE) within 72 hours of hospital admission. Demographic information, including age, gender, and education level, were collected. Statistical analyses were performed using chi-square tests, independent t tests, and multivariate regression to assess the relationship between cognitive function and key variables. Pearson correlation analysis explored associations among age, education, and MMSE scores.
resultsAmong the 305 patients with stroke, 16.7% (n=51) were diagnosed with cognitive impairment based on MMSE scores. The prevalence of cognitive impairment was slightly higher in males (17.6%, n=159) than females (15.8%, n=146), but this difference was not statistically significant. A strong negative correlation was found between MMSE scores and age (r=-0.32; P<.01), indicating that older patients had lower cognitive function. Education level showed a positive correlation with MMSE scores (r=0.41; P<.01), with patients with higher educational attainment demonstrating better cognitive outcomes. Cognitive function showed a marked decline in patients older than 60 years, particularly in domains such as memory, attention, and language skills.
conclusionsThis study confirms that age and education are significant factors in determining cognitive outcomes after stroke. The results align with existing literature showing that cognitive function declines with age, while higher educational attainment serves as a protective factor. The findings suggest that individuals with greater cognitive reserve, often linked to higher education, are better equipped to cope with the impact of brain injury. However, the study's reliance on MMSE may have limited its ability to detect domain-specific impairments. Future studies should consider using more sensitive cognitive tools, such as the Montreal Cognitive Assessment (MoCA), to provide a more comprehensive evaluation of PSCI. Cognitive impairment is prevalent among stroke survivors, with age and education level being key factors influencing outcomes. These findings underscore the importance of early detection and targeted interventions to mitigate cognitive decline. Further research with larger samples and more sensitive cognitive assessments is needed to fully understand PSCI and improve rehabilitation strategies for patients with stroke.
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