ArticleFrontiers in aging neuroscience2023
Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease.
Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 20 citations in OpenAlex.
- Heterogeneity in the association between cardiovascular disease and cognitive decline: a pooled analysis of five prospective cohort studies from 24 countries.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Plasma phosphorylated tau 181, vascular risk factors, and cognition in elderly Hispanics.Journal of Alzheimer's disease : JAD · 2026Article
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- A network analysis of dietary patterns, social participation patterns, and cognitive function in Chinese older adults.Frontiers in psychiatry · 2026Article
- GuiLingJi ameliorates mild cognitive impairment by targeting unsaturated fatty acid metabolism to inhibit GPR120/NF-κB mediated neuroinflammation.Frontiers in pharmacology · 2026Article
- Hypergraph clustering for analyzing chronic disease patterns in mild cognitive impairment reversion and progression.Scientific reports · 2025Article
- The causal association between insomnia and cognitive decline: A 2-sample, 2-step multivariable Mendelian randomization study.Medicine · 2025Article
- Association of cardiometabolic multimorbidity with postoperative delirium and three-year mortality in patients undergoing knee/hip arthroplasty: a prospective cohort study.International journal of surgery (London, England) · 2025Article
- Associations of ischemic heart disease with brain glymphatic MRI indices and risk of Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025Article
- Body composition and cognitive function in Chinese rural adults: an exploratory factor analysis and network analysis.Frontiers in aging neuroscience · 2025Article
- The Gut Microbiota Is Involved in the Regulation of Cognitive Flexibility in Adolescent BALB/c Mice Exposed to Chronic Physical Stress and a High-Fat Diet.Microorganisms · 2024Article
- Causal Explanation from Mild Cognitive Impairment Progression using Graph Neural Networks.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2024Article
- Association of peripheral B cells and delirium: combined single-cell sequencing and Mendelian randomization analysis.Frontiers in neurology · 2024Article
- Exploring the neural mechanisms of mild cognitive impairment in elderly patients with coronary artery disease using machine learning and source-localized EEG.Frontiers in neurologyArticle
- Neighborhood Influences on Cardiovascular Health: A Concept Mapping Study With Young Black Men Living in Southern Black Communities.American journal of men's healthArticle
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Cognitive decline in the elderly population is a growing concern, and vascular factors, such as hypertension, diabetes, cerebrovascular disease, and coronary heart disease, have been associated with cognitive impairments. This study aims to provide deeper insights into the structure of cognitive function networks under these different vascular factors and explore their potential associations with specific cognitive domains. Methods: Cognitive function was assessed using a modified Chinese version of the mini-mental state examination (MMSE) scale, and intensity centrality and side weights were estimated by network modeling. The network structure of cognitive function was compared across subgroups by including vascular factors as subgroup variables while controlling for comorbidities and confounders. Results: The results revealed that cerebrovascular disease and coronary heart disease had a more significant impact on cognitive function. Cerebrovascular disease was associated with weaker centrality in memory and spatial orientation, and a sparser cognitive network structure. Coronary heart disease was associated with weaker centrality in memory, repetition, executive function, recall, attention, and calculation, as well as a sparser cognitive network structure. The NCT analyses further highlighted significant differences between the cerebrovascular disease and coronary heart disease groups compared to controls in terms of overall network structure and connection strength. Conclusion: Our findings suggest that specific cognitive domains may be more vulnerable to impairments in patients with cerebrovascular disease and coronary heart disease. These insights could be used to improve the accuracy and sensitivity of cognitive screening in these patient populations, inform personalized cognitive intervention strategies, and provide a better understanding of the potential mechanisms underlying cognitive decline in patients with vascular diseases.
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