Association between biological aging and cardiovascular health: Combined evidence based on cross-sectional and prospective study

IF 3.5 3区医学 Q2 GERIATRICS & GERONTOLOGY

Archives of gerontology and geriatrics Pub Date : 2025-02-15 DOI:10.1016/j.archger.2025.105785

Xiaoyi Zhu, Xinyi Wang, Xinling Tian, Yuzhe Kong

{"title":"Association between biological aging and cardiovascular health: Combined evidence based on cross-sectional and prospective study","authors":"Xiaoyi Zhu, Xinyi Wang, Xinling Tian, Yuzhe Kong","doi":"10.1016/j.archger.2025.105785","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>To examine the relationship between biological aging metrics and cardiovascular health, as well as the mediating effect of sleep duration.</div></div><div><h3>Method</h3><div>We applied the recommended sampling weights to adjust for the complex survey design of NHANES. Using NHANES data, we first employed restricted cubic spline (RCS) and logistic regression models to explore the cross-sectional associations between biological aging metrics, defined by the Klemera-Doubal method biological age (KDM-BA), phenotypic age (PA), homeostatic dysregulation (HD), and allostatic load (AL), and the prevalence of cardiovascular diseases (CVD) and its subtypes. We then used Cox regression, Kaplan-Meier curves, and RCS models to assess the prospective associations between biological aging metrics and all-cause as well as CVD mortality. Further, ROC and DCA models were used to assess the predicting ability of 4 biological aging metrics to cardiovascular health.</div></div><div><h3>Result</h3><div>This study included 7,704 participants. We found that biological aging metrics were strongly linked to the prevalence of CVD and its subtypes, as well as to all-cause and CVD mortality. Sleep duration appeared to moderate these associations. Among the four biological aging metrics, PA was the most effective predictor of CVD prevalence and its subtypes, though none of the metrics accurately predicted mortality.</div></div><div><h3>Conclusion</h3><div>Biological aging metrics were significantly associated with cardiovascular health, while sleep duration may attenuate this relationship. Clinically, PA can be a potential predictor of cardiovascular health.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"132 ","pages":"Article 105785"},"PeriodicalIF":3.5000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of gerontology and geriatrics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167494325000433","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Purpose

To examine the relationship between biological aging metrics and cardiovascular health, as well as the mediating effect of sleep duration.

Method

We applied the recommended sampling weights to adjust for the complex survey design of NHANES. Using NHANES data, we first employed restricted cubic spline (RCS) and logistic regression models to explore the cross-sectional associations between biological aging metrics, defined by the Klemera-Doubal method biological age (KDM-BA), phenotypic age (PA), homeostatic dysregulation (HD), and allostatic load (AL), and the prevalence of cardiovascular diseases (CVD) and its subtypes. We then used Cox regression, Kaplan-Meier curves, and RCS models to assess the prospective associations between biological aging metrics and all-cause as well as CVD mortality. Further, ROC and DCA models were used to assess the predicting ability of 4 biological aging metrics to cardiovascular health.

Result

This study included 7,704 participants. We found that biological aging metrics were strongly linked to the prevalence of CVD and its subtypes, as well as to all-cause and CVD mortality. Sleep duration appeared to moderate these associations. Among the four biological aging metrics, PA was the most effective predictor of CVD prevalence and its subtypes, though none of the metrics accurately predicted mortality.

Conclusion

Biological aging metrics were significantly associated with cardiovascular health, while sleep duration may attenuate this relationship. Clinically, PA can be a potential predictor of cardiovascular health.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Archives of gerontology and geriatrics 医学-老年医学

CiteScore

7.30

自引率

5.00%

发文量

198

审稿时长

16 days

期刊介绍： Archives of Gerontology and Geriatrics provides a medium for the publication of papers from the fields of experimental gerontology and clinical and social geriatrics. The principal aim of the journal is to facilitate the exchange of information between specialists in these three fields of gerontological research. Experimental papers dealing with the basic mechanisms of aging at molecular, cellular, tissue or organ levels will be published. Clinical papers will be accepted if they provide sufficiently new information or are of fundamental importance for the knowledge of human aging. Purely descriptive clinical papers will be accepted only if the results permit further interpretation. Papers dealing with anti-aging pharmacological preparations in humans are welcome. Papers on the social aspects of geriatrics will be accepted if they are of general interest regarding the epidemiology of aging and the efficiency and working methods of the social organizations for the health care of the elderly.