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Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis

This study aimed to identify the modifiable cardiovascular risk factors associated with longitudinal changes, which are nine functional and structural biological vascular aging indicators (BVAIs), to propose an effective method to prevent biological vascular aging. We conducted a longitudinal study...

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Autores principales: Watanabe, Daiki, Gando, Yuko, Murakami, Haruka, Kawano, Hiroshi, Yamamoto, Kenta, Morishita, Akie, Miyatake, Nobuyuki, Miyachi, Motohiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070355/
https://www.ncbi.nlm.nih.gov/pubmed/37012303
http://dx.doi.org/10.1038/s41598-023-32443-5
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author Watanabe, Daiki
Gando, Yuko
Murakami, Haruka
Kawano, Hiroshi
Yamamoto, Kenta
Morishita, Akie
Miyatake, Nobuyuki
Miyachi, Motohiko
author_facet Watanabe, Daiki
Gando, Yuko
Murakami, Haruka
Kawano, Hiroshi
Yamamoto, Kenta
Morishita, Akie
Miyatake, Nobuyuki
Miyachi, Motohiko
author_sort Watanabe, Daiki
collection PubMed
description This study aimed to identify the modifiable cardiovascular risk factors associated with longitudinal changes, which are nine functional and structural biological vascular aging indicators (BVAIs), to propose an effective method to prevent biological vascular aging. We conducted a longitudinal study of 697 adults (a maximum of 3636 BVAI measurements) who were, at baseline, aged between 26 and 85 years and whose BVAIs were measured at least twice between 2007 and 2018. The nine BVAIs were measured using vascular testing and an ultrasound device. Covariates were assessed using validated questionnaires and devices. During the mean follow-up period of 6.7 years, the average number of BVAI measurements ranged from 4.3 to 5.3. The longitudinal analysis showed a moderate positive correlation between the common carotid intima-media thickness (IMT) and chronological age in both men (r = 0.53) and women (r = 0.54). In the multivariate analysis, BVAIs were associated with factors such as age, sex, residential area, smoking status, blood clinical chemistry test levels, number of comorbidities, physical fitness, body mass, physical activity, and dietary intake. The IMT is the most useful BVAI. Our findings suggest that modifiable cardiovascular risk factors are associated with longitudinal changes in BVAI as represented by IMT.
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spelling pubmed-100703552023-04-05 Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis Watanabe, Daiki Gando, Yuko Murakami, Haruka Kawano, Hiroshi Yamamoto, Kenta Morishita, Akie Miyatake, Nobuyuki Miyachi, Motohiko Sci Rep Article This study aimed to identify the modifiable cardiovascular risk factors associated with longitudinal changes, which are nine functional and structural biological vascular aging indicators (BVAIs), to propose an effective method to prevent biological vascular aging. We conducted a longitudinal study of 697 adults (a maximum of 3636 BVAI measurements) who were, at baseline, aged between 26 and 85 years and whose BVAIs were measured at least twice between 2007 and 2018. The nine BVAIs were measured using vascular testing and an ultrasound device. Covariates were assessed using validated questionnaires and devices. During the mean follow-up period of 6.7 years, the average number of BVAI measurements ranged from 4.3 to 5.3. The longitudinal analysis showed a moderate positive correlation between the common carotid intima-media thickness (IMT) and chronological age in both men (r = 0.53) and women (r = 0.54). In the multivariate analysis, BVAIs were associated with factors such as age, sex, residential area, smoking status, blood clinical chemistry test levels, number of comorbidities, physical fitness, body mass, physical activity, and dietary intake. The IMT is the most useful BVAI. Our findings suggest that modifiable cardiovascular risk factors are associated with longitudinal changes in BVAI as represented by IMT. Nature Publishing Group UK 2023-04-03 /pmc/articles/PMC10070355/ /pubmed/37012303 http://dx.doi.org/10.1038/s41598-023-32443-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Watanabe, Daiki
Gando, Yuko
Murakami, Haruka
Kawano, Hiroshi
Yamamoto, Kenta
Morishita, Akie
Miyatake, Nobuyuki
Miyachi, Motohiko
Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
title Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
title_full Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
title_fullStr Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
title_full_unstemmed Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
title_short Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
title_sort longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070355/
https://www.ncbi.nlm.nih.gov/pubmed/37012303
http://dx.doi.org/10.1038/s41598-023-32443-5
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