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Background: Higher levels of pulse wave velocity (PWV) have been related with the presence of small vessel disease that could damage the brain, in which white matter hyperintensities (WMH) could be presented as consequence. This meta-analysis aims to examine the cross-sectional and longitudinal associations between PWV and the presence of WMH among older adults., Methods: We searched PubMed, Scopus, and WOS until June 2024. Pooled Odds Ratio (p-OR) were estimated for the cross-sectional and longitudinal associations between PWV and WMH. In addition, we explored whether this associations could be modified by type of PWV measurement and study and sample characteristics., Results: The p-OR between PWV and WMH was 1.16 (95 % CI, 1.10-1.22) for the cross-sectional and 1.07 (95 %, 1.00-1.15) for the longitudinal association. Similar figures were found by type of PWV measurement and no one of the explored characteristics modified this associations., Conclusions: This meta-analysis revealed that the presence in and the long-term development of WMHs among older adults are more likely among those with elevated PWV., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

(1) Background: Previous evidence has indicated a connection between a Mediterranean diet and cardiovascular disease. However, evidence for subclinical markers of cardiovascular disease, such as arterial stiffness, is limited. Therefore, the aim of this study was to assess the associations between adherence to the Mediterranean diet (MD), as assessed by the MEDAS-14 questionnaire, and arterial stiffness, as assessed by aortic pulse wave velocity, in healthy adults and according to sex. (2) A cross-sectional study including 386 healthy participants was performed in the EVasCu study. Adjusted and unadjusted differences in adherence to the MD and arterial stiffness were determined using Student's t test and ANCOVA for the total sample and according to sex. (3) Results: Our results showed that individuals with a high adherence to the MD had a greater arterial stiffness, both in the total sample and in females, although this difference was not significant after adjusting for possible confounding variables, such as age. (4) Conclusions: Our findings indicated that, in the unadjusted analyses, healthy subjects with a high adherence to the MD showed a greater arterial stiffness. When these analyses were adjusted, no significant differences were shown in a-PWv according to the categories of MD adherence.

Introduction: Some cardiovascular risk markers have been associated with alterations in sleep duration in different populations; however, there is little evidence in a healthy population. Aim: The aim of the present study was to analyze the associations between sleep duration and cardiovascular risk biomarkers, including advanced glycation end-products (AGEs) measured by skin autofluorescence (SAF), maximum carotid intima-media thickness (IMTMax), aortic pulse wave velocity (a-PWV), pulse pressure (PP), and low-density lipoprotein cholesterol (LDL-C), in healthy adults (EVasCu study). Methodology: The EVasCu study included 390 participants. Simple and multiple linear regressions were performed between sleep duration and cardiovascular risk markers. ANOVA analysis and ANCOVA analysis adjusted for various covariates were then performed after categorizing sleep into 6 h, 6-8 h, and >8 h. Results: 296 participants were included in the analyses (43.97 ± 12.60 years, 63.9% female). Simple linear regressions showed an inverse association between sleep duration and SAF, IMTMax, aPWV and PP. However, in the multiple linear regression with all the covariates, the statistical significance was lost. For its part, in the ANOVA analyses, sleep duration was also associated with the same parameters, but when performing the fully adjusted ANCOVA analyses, the statistical significance for SAF was maintained (p = 0.015), obtaining a difference of 0.223 arbitrary units (p = 0.017) when comparing the group <6 h vs. > 8 h. Finally, there was no association for LDL-C. Conclusion: An inverse association was found between sleep duration and APS, which is considered a marker of cardiovascular risk. Although prospective studies are needed, it is suggested that insufficient sleep may increase cardiovascular risk, which could be a key factor in future public health policies to promote health and prevent CVD. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular diseases (CVDs) remain a major global health concern, necessitating advanced risk assessment beyond traditional factors. Early vascular aging (EVA), characterized by accelerated vascular changes, has gained importance in cardiovascular risk assessment. Methods: The EVasCu study in Spain examined 390 healthy participants using noninvasive measurements. A construct of four variables (Pulse Pressure, Pulse Wave Velocity, Glycated Hemoglobin, Advanced Glycation End Products) was used for clustering. K-means clustering with principal component analysis revealed two clusters, healthy vascular aging (HVA) and early vascular aging (EVA). External validation variables included sociodemographic, adiposity, glycemic, inflammatory, lipid profile, vascular, and blood pressure factors. Results: EVA cluster participants were older and exhibited higher adiposity, poorer glycemic control, dyslipidemia, altered vascular properties, and higher blood pressure. Significant differences were observed for age, smoking status, body mass index, waist circumference, fat percentage, glucose, insulin, C-reactive protein, diabetes prevalence, lipid profiles, arterial stiffness, and blood pressure levels. These findings demonstrate the association between traditional cardiovascular risk factors and EVA. Conclusions: This study validates a clustering model for EVA and highlights its association with established risk factors. EVA assessment can be integrated into clinical practice, allowing early intervention and personalized cardiovascular risk management. [ABSTRACT FROM AUTHOR]