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Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study

OBJECTIVES: This study aimed to investigate the relationship between long-term trajectories of changes in cardiovascular risk factors (CVRFs) and the risk of cognitive impairment among Chinese adults over 60 years old. METHODS: Data were obtained from the Chinese Longitudinal Healthy Longevity Surve...

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Autores principales: Duan, Xinyu, Dang, Yusong, Kang, Chenxi, Rong, Peixi, Yan, Mingxin, Zhang, Shutong, Cui, Jing, Zhao, Yaling, Chen, Fangyao, Zhou, Jing, Wang, Duolao, Pei, Leilei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950264/
https://www.ncbi.nlm.nih.gov/pubmed/36845661
http://dx.doi.org/10.3389/fnagi.2023.1084136
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author Duan, Xinyu
Dang, Yusong
Kang, Chenxi
Rong, Peixi
Yan, Mingxin
Zhang, Shutong
Cui, Jing
Zhao, Yaling
Chen, Fangyao
Zhou, Jing
Wang, Duolao
Pei, Leilei
author_facet Duan, Xinyu
Dang, Yusong
Kang, Chenxi
Rong, Peixi
Yan, Mingxin
Zhang, Shutong
Cui, Jing
Zhao, Yaling
Chen, Fangyao
Zhou, Jing
Wang, Duolao
Pei, Leilei
author_sort Duan, Xinyu
collection PubMed
description OBJECTIVES: This study aimed to investigate the relationship between long-term trajectories of changes in cardiovascular risk factors (CVRFs) and the risk of cognitive impairment among Chinese adults over 60 years old. METHODS: Data were obtained from the Chinese Longitudinal Healthy Longevity Survey 2005–2018. Cognitive function was evaluated longitudinally through the Chinese version of the Mini-Mental State Examination (C-MMSE), and cognitive impairment (C-MMSE ≤23) was used as the main outcome variable. The cardiovascular risk factors, including systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP), and body mass index (BMI), were continuously measured in the follow-up duration. The patterns of trajectories of changes in CVRFs were derived from the latent growth mixture model (LGMM). The Cox regression model was used to evaluate the cognitive impairment hazard ratio (HR) across different CVRF trajectories. RESULTS: A total of 5,164 participants aged ≥60 years with normal cognitive function at baseline were included in the study. After a median follow-up of 8 years, 2,071 participants (40.1%) developed cognitive impairment (C-MMSE ≤ 23). The four-class trajectories of SBP and BMI were obtained by means of LGMM, and the trajectories of DBP, MAP, and PP were grouped into a three-class subgroup. In the final adjusted Cox model, the lowered SBP [adjusted HR (aHR): 1.59; 95% CI: 1.17–2.16], lowered PP (aHR: 2.64; 95% CI: 1.66–4.19), and progressively obese (aHR: 1.28; 95% CI: 1.02–1.62) and stable slim (aHR: 1.13; 95% CI: 1.02–1.25) were associated with the higher risk of cognitive impairment. Low stable DBP (aHR: 0.80; 95% CI: 0.66–0.96) and elevated PP (aHR: 0.76; 95% CI: 0.63–0.92) decreased the risk for cognitive impairment among participants. CONCLUSION: Lowered SBP, lowered PP, progressive obesity, and stable slim increased the risk for cognitive impairment in the Chinese elderly. Low stable DBP and elevated PP were protective against cognitive impairment, but more DBP lowering and ≥25 mmHg growth in PP contributed to a higher risk of cognitive impairment. The findings have important implications for preventing cognitive impairment in elder adults based on the long-term trajectories of changes in CVRFs.
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spelling pubmed-99502642023-02-25 Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study Duan, Xinyu Dang, Yusong Kang, Chenxi Rong, Peixi Yan, Mingxin Zhang, Shutong Cui, Jing Zhao, Yaling Chen, Fangyao Zhou, Jing Wang, Duolao Pei, Leilei Front Aging Neurosci Aging Neuroscience OBJECTIVES: This study aimed to investigate the relationship between long-term trajectories of changes in cardiovascular risk factors (CVRFs) and the risk of cognitive impairment among Chinese adults over 60 years old. METHODS: Data were obtained from the Chinese Longitudinal Healthy Longevity Survey 2005–2018. Cognitive function was evaluated longitudinally through the Chinese version of the Mini-Mental State Examination (C-MMSE), and cognitive impairment (C-MMSE ≤23) was used as the main outcome variable. The cardiovascular risk factors, including systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP), and body mass index (BMI), were continuously measured in the follow-up duration. The patterns of trajectories of changes in CVRFs were derived from the latent growth mixture model (LGMM). The Cox regression model was used to evaluate the cognitive impairment hazard ratio (HR) across different CVRF trajectories. RESULTS: A total of 5,164 participants aged ≥60 years with normal cognitive function at baseline were included in the study. After a median follow-up of 8 years, 2,071 participants (40.1%) developed cognitive impairment (C-MMSE ≤ 23). The four-class trajectories of SBP and BMI were obtained by means of LGMM, and the trajectories of DBP, MAP, and PP were grouped into a three-class subgroup. In the final adjusted Cox model, the lowered SBP [adjusted HR (aHR): 1.59; 95% CI: 1.17–2.16], lowered PP (aHR: 2.64; 95% CI: 1.66–4.19), and progressively obese (aHR: 1.28; 95% CI: 1.02–1.62) and stable slim (aHR: 1.13; 95% CI: 1.02–1.25) were associated with the higher risk of cognitive impairment. Low stable DBP (aHR: 0.80; 95% CI: 0.66–0.96) and elevated PP (aHR: 0.76; 95% CI: 0.63–0.92) decreased the risk for cognitive impairment among participants. CONCLUSION: Lowered SBP, lowered PP, progressive obesity, and stable slim increased the risk for cognitive impairment in the Chinese elderly. Low stable DBP and elevated PP were protective against cognitive impairment, but more DBP lowering and ≥25 mmHg growth in PP contributed to a higher risk of cognitive impairment. The findings have important implications for preventing cognitive impairment in elder adults based on the long-term trajectories of changes in CVRFs. Frontiers Media S.A. 2023-02-10 /pmc/articles/PMC9950264/ /pubmed/36845661 http://dx.doi.org/10.3389/fnagi.2023.1084136 Text en Copyright © 2023 Duan, Dang, Kang, Rong, Yan, Zhang, Cui, Zhao, Chen, Zhou, Wang and Pei. 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 Aging Neuroscience
Duan, Xinyu
Dang, Yusong
Kang, Chenxi
Rong, Peixi
Yan, Mingxin
Zhang, Shutong
Cui, Jing
Zhao, Yaling
Chen, Fangyao
Zhou, Jing
Wang, Duolao
Pei, Leilei
Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study
title Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study
title_full Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study
title_fullStr Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study
title_full_unstemmed Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study
title_short Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study
title_sort associations between trajectories of cardiovascular risk factor change and cognitive impairment in chinese elderly: a nationwide cohort study
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950264/
https://www.ncbi.nlm.nih.gov/pubmed/36845661
http://dx.doi.org/10.3389/fnagi.2023.1084136
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