Evidence map›Paper›PMID 42288723›Full record

ArticleBMC cardiovascular disorders2026

Estimated pulse wave velocity and risk of cardiometabolic multimorbidity in middle-aged and older adults: a cohort study.

Jin Zhang, Yufei Li, Jiayun Wu, Ziyi Sun, Wenxi Juan, Wenjie Liu, Mengwen Huang, Kuiwu Yao

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jin ZhangGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Yufei LiGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Jiayun WuDepartment of Cardiology, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, Guangdong, China. nggaiwen@163.com.
Ziyi SunGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Wenxi JuanGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Wenjie LiuGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Mengwen HuangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Kuiwu YaoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China. yaokuiwu@126.com.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619Sanming Project of Medicine in Shenzen SZZYSM202205015
6 · The paper itself

Abstract

backgroundCardiometabolic multimorbidity (CMM) is a growing global public health challenge. Early identification of CMM is crucial for preventive management and reducing disease burden.

objectiveThe aim of this study was to investigate the association between estimated pulse wave velocity (ePWV), a convenient measure derived from age and blood pressure, and risk of incident CMM in middle-aged and older adults.

methodsThis study used data from Health and Retirement Study (HRS). Cox proportional hazards regression models and restricted cubic spline (RCS) regression models were used to explore the association between ePWV and incident CMM.

resultsA total of 6551 participants were included in the analysis. The median age of the participants at baseline was 66 years [IQR: 58-73 years], and 2396 (36.57%) were men. Participants were stratified into three groups according to tertiles of ePWV, with median (IQR) values of 8.69 (8.01-9.19), 10.58 (10.11-11.08), and 12.82 (12.18-13.89) m/s, respectively. After multivariate adjustment, compared with the lowest tertile, the middle and highest tertiles were associated with a 80% (HR: 1.80, 95% CI: 1.38-2.34) and 89% (HR: 1.89, 95% CI: 1.35-2.64) increased risk of CMM. The RCS regression model revealed a significant positive association between ePWV and the incidence of CMM (P = 0.0004). Subgroup analyses and competing risk analysis confirmed the robustness of the main results.

conclusionsA positive association was observed between ePWV and incident CMM in middle-aged and older adults. This simplified approach holds notable value in resource-limited settings, highlighting the potential of integrating ePWV into routine screenings for early CMM identification.

Indexed as

Cardiovascular DiseasesPulse Wave AnalysisVascular StiffnessAgedAge FactorsBlood PressureCardiometabolic Risk FactorsFemaleHumansIncidenceMaleMiddle AgedMultimorbidityPredictive Value of TestsProportional Hazards ModelsProspective StudiesCardiometabolic multimorbidityCohort studyEPWV

Identifiers

PMID42288723
PMCPMC13483523

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.