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Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China

BACKGROUND: Visit-to-visit body weight variability (BWV), pulse rate variability (PRV), and blood pressure variability (BPV) have been respectively linked to multiple health outcomes. The associations of the combination of long-term variability in physiological measures with mortality and epigenetic...

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Autores principales: Chen, Hui, Zhou, Tianjing, Wu, Shaowei, Cao, Yaying, Zong, Geng, Yuan, Changzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843964/
https://www.ncbi.nlm.nih.gov/pubmed/36647101
http://dx.doi.org/10.1186/s12916-022-02674-w
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author Chen, Hui
Zhou, Tianjing
Wu, Shaowei
Cao, Yaying
Zong, Geng
Yuan, Changzheng
author_facet Chen, Hui
Zhou, Tianjing
Wu, Shaowei
Cao, Yaying
Zong, Geng
Yuan, Changzheng
author_sort Chen, Hui
collection PubMed
description BACKGROUND: Visit-to-visit body weight variability (BWV), pulse rate variability (PRV), and blood pressure variability (BPV) have been respectively linked to multiple health outcomes. The associations of the combination of long-term variability in physiological measures with mortality and epigenetic age acceleration (EAA) remain largely unknown. METHODS: We constructed a composite score of physiological variability (0-3) of large variability in BWV, PRV, and BPV (the top tertiles) in 2006/2008–2014/2016 in the Health and Retirement Study (HRS) and 2011–2015 in the China Health and Retirement Longitudinal Study (CHARLS). All-cause mortality was documented through 2018. EAA was calculated using thirteen DNA methylation-based epigenetic clocks among 1047 participants in a substudy of the HRS. We assessed the relation of the composite score to the risk of mortality among 6566 participants in the HRS and 6906 participants in the CHARLS by Cox proportional models and then investigated its association with EAA using linear regression models. RESULTS: A higher score of variability was associated with higher mortality risk in both cohorts (pooled hazard ratio [HR] per one-point increment, 1.27; 95% confidence interval [CI], 1.18, 1.39; P-heterogeneity = 0.344), after adjustment for multiple confounders and baseline physiological measures. Specifically, each SD increment in BWV, PRV, and BPV was related to 21% (95% CI: 15%, 28%), 6% (0%, 13%), and 12% (4%, 19%) higher hazard of mortality, respectively. The composite score was significantly related to EAA in second-generation clocks trained on health outcomes (e.g., standardized coefficient = 0.126 in the Levine clock, 95% CI: 0.055, 0.196) but not in most first-generation clocks trained on chronological age. CONCLUSIONS: Larger variability in physiological measures was associated with a higher risk of mortality and faster EAA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02674-w.
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spelling pubmed-98439642023-01-18 Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China Chen, Hui Zhou, Tianjing Wu, Shaowei Cao, Yaying Zong, Geng Yuan, Changzheng BMC Med Research Article BACKGROUND: Visit-to-visit body weight variability (BWV), pulse rate variability (PRV), and blood pressure variability (BPV) have been respectively linked to multiple health outcomes. The associations of the combination of long-term variability in physiological measures with mortality and epigenetic age acceleration (EAA) remain largely unknown. METHODS: We constructed a composite score of physiological variability (0-3) of large variability in BWV, PRV, and BPV (the top tertiles) in 2006/2008–2014/2016 in the Health and Retirement Study (HRS) and 2011–2015 in the China Health and Retirement Longitudinal Study (CHARLS). All-cause mortality was documented through 2018. EAA was calculated using thirteen DNA methylation-based epigenetic clocks among 1047 participants in a substudy of the HRS. We assessed the relation of the composite score to the risk of mortality among 6566 participants in the HRS and 6906 participants in the CHARLS by Cox proportional models and then investigated its association with EAA using linear regression models. RESULTS: A higher score of variability was associated with higher mortality risk in both cohorts (pooled hazard ratio [HR] per one-point increment, 1.27; 95% confidence interval [CI], 1.18, 1.39; P-heterogeneity = 0.344), after adjustment for multiple confounders and baseline physiological measures. Specifically, each SD increment in BWV, PRV, and BPV was related to 21% (95% CI: 15%, 28%), 6% (0%, 13%), and 12% (4%, 19%) higher hazard of mortality, respectively. The composite score was significantly related to EAA in second-generation clocks trained on health outcomes (e.g., standardized coefficient = 0.126 in the Levine clock, 95% CI: 0.055, 0.196) but not in most first-generation clocks trained on chronological age. CONCLUSIONS: Larger variability in physiological measures was associated with a higher risk of mortality and faster EAA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02674-w. BioMed Central 2023-01-16 /pmc/articles/PMC9843964/ /pubmed/36647101 http://dx.doi.org/10.1186/s12916-022-02674-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chen, Hui
Zhou, Tianjing
Wu, Shaowei
Cao, Yaying
Zong, Geng
Yuan, Changzheng
Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
title Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
title_full Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
title_fullStr Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
title_full_unstemmed Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
title_short Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
title_sort long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the usa and china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843964/
https://www.ncbi.nlm.nih.gov/pubmed/36647101
http://dx.doi.org/10.1186/s12916-022-02674-w
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