Cargando…

Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yucheng, Zhang, Huanrui, Liu, Linzi, Li, Zijia, Zhou, Yang, Wei, Jiayan, Xu, Yixiao, Zhou, Yifang, Tang, Yanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436622/
https://www.ncbi.nlm.nih.gov/pubmed/37600511
http://dx.doi.org/10.3389/fnagi.2023.1229559
_version_ 1785092375248371712
author Wang, Yucheng
Zhang, Huanrui
Liu, Linzi
Li, Zijia
Zhou, Yang
Wei, Jiayan
Xu, Yixiao
Zhou, Yifang
Tang, Yanqing
author_facet Wang, Yucheng
Zhang, Huanrui
Liu, Linzi
Li, Zijia
Zhou, Yang
Wei, Jiayan
Xu, Yixiao
Zhou, Yifang
Tang, Yanqing
author_sort Wang, Yucheng
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10436622
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-104366222023-08-19 Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease Wang, Yucheng Zhang, Huanrui Liu, Linzi Li, Zijia Zhou, Yang Wei, Jiayan Xu, Yixiao Zhou, Yifang Tang, Yanqing Front Aging Neurosci Neuroscience 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. Frontiers Media S.A. 2023-08-04 /pmc/articles/PMC10436622/ /pubmed/37600511 http://dx.doi.org/10.3389/fnagi.2023.1229559 Text en Copyright © 2023 Wang, Zhang, Liu, Li, Zhou, Wei, Xu, Zhou and Tang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Wang, Yucheng
Zhang, Huanrui
Liu, Linzi
Li, Zijia
Zhou, Yang
Wei, Jiayan
Xu, Yixiao
Zhou, Yifang
Tang, Yanqing
Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
title Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
title_full Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
title_fullStr Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
title_full_unstemmed Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
title_short Cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
title_sort cognitive function and cardiovascular health in the elderly: network analysis based on hypertension, diabetes, cerebrovascular disease, and coronary heart disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436622/
https://www.ncbi.nlm.nih.gov/pubmed/37600511
http://dx.doi.org/10.3389/fnagi.2023.1229559
work_keys_str_mv AT wangyucheng cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT zhanghuanrui cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT liulinzi cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT lizijia cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT zhouyang cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT weijiayan cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT xuyixiao cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT zhouyifang cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease
AT tangyanqing cognitivefunctionandcardiovascularhealthintheelderlynetworkanalysisbasedonhypertensiondiabetescerebrovasculardiseaseandcoronaryheartdisease