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Association between life’s essential 8 and biological ageing among US adults

BACKGROUND: Biological ageing is tightly linked to cardiovascular disease (CVD). We aimed to investigate the relationship between Life’s Essential 8 (LE8), a currently updated measure of cardiovascular health (CVH), and biological ageing. METHODS: This cross-sectional study selected adults ≥ 20 year...

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Autores principales: Zhang, Ronghuai, Wu, Min, Zhang, Wei, Liu, Xuna, Pu, Jie, Wei, Tao, Zhu, Zhanfang, Tang, Zhiguo, Wei, Na, Liu, Bo, Cui, Qianwei, Wang, Junkui, Liu, Fuqiang, Lv, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503107/
https://www.ncbi.nlm.nih.gov/pubmed/37710295
http://dx.doi.org/10.1186/s12967-023-04495-8
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author Zhang, Ronghuai
Wu, Min
Zhang, Wei
Liu, Xuna
Pu, Jie
Wei, Tao
Zhu, Zhanfang
Tang, Zhiguo
Wei, Na
Liu, Bo
Cui, Qianwei
Wang, Junkui
Liu, Fuqiang
Lv, Ying
author_facet Zhang, Ronghuai
Wu, Min
Zhang, Wei
Liu, Xuna
Pu, Jie
Wei, Tao
Zhu, Zhanfang
Tang, Zhiguo
Wei, Na
Liu, Bo
Cui, Qianwei
Wang, Junkui
Liu, Fuqiang
Lv, Ying
author_sort Zhang, Ronghuai
collection PubMed
description BACKGROUND: Biological ageing is tightly linked to cardiovascular disease (CVD). We aimed to investigate the relationship between Life’s Essential 8 (LE8), a currently updated measure of cardiovascular health (CVH), and biological ageing. METHODS: This cross-sectional study selected adults ≥ 20 years of age from the 2005–2010 National Health and Nutrition Examination Survey. LE8 scores (range 0–100) were obtained from measurements based on American Heart Association definitions, divided into health behavior and health factor scores. Biological ageing was assessed by different methods including phenotypic age, phenotypic age acceleration (PhenoAgeAccel), biological age and biological age acceleration (BioAgeAccel). Correlations were analyzed by weighted linear regression and restricted cubic spline models. RESULTS: Of the 11,729 participants included, the mean age was 47.41 ± 0.36 years and 5983 (51.01%) were female. The mean phenotypic and biological ages were 42.96 ± 0.41 and 46.75 ± 0.39 years, respectively, and the mean LE8 score was 67.71 ± 0.35. After adjusting for potential confounders, higher LE8 scores were associated with lower phenotypic age, biological age, PhenoAgeAccel, and BioAgeAccel, with nonlinear dose–response relationships. Negative associations were also found between health behavior and health factor scores and biological ageing, and were stronger for health factors. In health factor-specific analyses, the β negativity was greater for blood glucose and blood pressure. The inverse correlations of LE8 scores with phenotypic age and biological age in the stratified analyses remained solid across strata. CONCLUSIONS: LE8 and its subscale scores were strongly negatively related to biological ageing. Encouraging optimal CVH levels may be advantageous in preventing and slowing down ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04495-8.
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spelling pubmed-105031072023-09-16 Association between life’s essential 8 and biological ageing among US adults Zhang, Ronghuai Wu, Min Zhang, Wei Liu, Xuna Pu, Jie Wei, Tao Zhu, Zhanfang Tang, Zhiguo Wei, Na Liu, Bo Cui, Qianwei Wang, Junkui Liu, Fuqiang Lv, Ying J Transl Med Research BACKGROUND: Biological ageing is tightly linked to cardiovascular disease (CVD). We aimed to investigate the relationship between Life’s Essential 8 (LE8), a currently updated measure of cardiovascular health (CVH), and biological ageing. METHODS: This cross-sectional study selected adults ≥ 20 years of age from the 2005–2010 National Health and Nutrition Examination Survey. LE8 scores (range 0–100) were obtained from measurements based on American Heart Association definitions, divided into health behavior and health factor scores. Biological ageing was assessed by different methods including phenotypic age, phenotypic age acceleration (PhenoAgeAccel), biological age and biological age acceleration (BioAgeAccel). Correlations were analyzed by weighted linear regression and restricted cubic spline models. RESULTS: Of the 11,729 participants included, the mean age was 47.41 ± 0.36 years and 5983 (51.01%) were female. The mean phenotypic and biological ages were 42.96 ± 0.41 and 46.75 ± 0.39 years, respectively, and the mean LE8 score was 67.71 ± 0.35. After adjusting for potential confounders, higher LE8 scores were associated with lower phenotypic age, biological age, PhenoAgeAccel, and BioAgeAccel, with nonlinear dose–response relationships. Negative associations were also found between health behavior and health factor scores and biological ageing, and were stronger for health factors. In health factor-specific analyses, the β negativity was greater for blood glucose and blood pressure. The inverse correlations of LE8 scores with phenotypic age and biological age in the stratified analyses remained solid across strata. CONCLUSIONS: LE8 and its subscale scores were strongly negatively related to biological ageing. Encouraging optimal CVH levels may be advantageous in preventing and slowing down ageing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04495-8. BioMed Central 2023-09-14 /pmc/articles/PMC10503107/ /pubmed/37710295 http://dx.doi.org/10.1186/s12967-023-04495-8 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/) . 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
Zhang, Ronghuai
Wu, Min
Zhang, Wei
Liu, Xuna
Pu, Jie
Wei, Tao
Zhu, Zhanfang
Tang, Zhiguo
Wei, Na
Liu, Bo
Cui, Qianwei
Wang, Junkui
Liu, Fuqiang
Lv, Ying
Association between life’s essential 8 and biological ageing among US adults
title Association between life’s essential 8 and biological ageing among US adults
title_full Association between life’s essential 8 and biological ageing among US adults
title_fullStr Association between life’s essential 8 and biological ageing among US adults
title_full_unstemmed Association between life’s essential 8 and biological ageing among US adults
title_short Association between life’s essential 8 and biological ageing among US adults
title_sort association between life’s essential 8 and biological ageing among us adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503107/
https://www.ncbi.nlm.nih.gov/pubmed/37710295
http://dx.doi.org/10.1186/s12967-023-04495-8
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