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Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study

The objectives of this study were to analyse the capacity of different anthropometric indices to predict vascular ageing and this association in Spanish adult population without cardiovascular disease. A total of 501 individuals without cardiovascular disease residing in the capital of Salamanca (Sp...

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Autores principales: Gómez-Sánchez, Leticia, Gómez-Sánchez, Marta, Rodríguez-Sánchez, Emiliano, Patino-Alonso, Carmen, Alonso-Dominguez, Rosario, Sanchez-Aguadero, Natalia, Lugones-Sánchez, Cristina, Llamas-Ramos, Ines, García-Ortiz, Luis, Gómez-Marcos, Manuel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105296/
https://www.ncbi.nlm.nih.gov/pubmed/35566797
http://dx.doi.org/10.3390/jcm11092671
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author Gómez-Sánchez, Leticia
Gómez-Sánchez, Marta
Rodríguez-Sánchez, Emiliano
Patino-Alonso, Carmen
Alonso-Dominguez, Rosario
Sanchez-Aguadero, Natalia
Lugones-Sánchez, Cristina
Llamas-Ramos, Ines
García-Ortiz, Luis
Gómez-Marcos, Manuel A.
author_facet Gómez-Sánchez, Leticia
Gómez-Sánchez, Marta
Rodríguez-Sánchez, Emiliano
Patino-Alonso, Carmen
Alonso-Dominguez, Rosario
Sanchez-Aguadero, Natalia
Lugones-Sánchez, Cristina
Llamas-Ramos, Ines
García-Ortiz, Luis
Gómez-Marcos, Manuel A.
author_sort Gómez-Sánchez, Leticia
collection PubMed
description The objectives of this study were to analyse the capacity of different anthropometric indices to predict vascular ageing and this association in Spanish adult population without cardiovascular disease. A total of 501 individuals without cardiovascular disease residing in the capital of Salamanca (Spain) were selected (mean age: 55.9 years, 50.3% women), through stratified random sampling by age and sex. Starting from anthropometric measurements such as weight, height, and waist circumference, hip circumference, or biochemical parameters, we could estimate different indices that reflected general obesity, abdominal obesity, and body fat distribution. Arterial stiffness was evaluated by measuring carotid-femoral pulse wave velocity (cf-PWV) using a SphygmoCor(®) device. Vascular ageing was defined in three steps: Step 1: the participants with vascular injury were classified as early vascular ageing (EVA); Step 2: classification of the participants using the 10 and 90 percentiles of cf-PWV in the study population by age and sex in EVA, healthy vascular ageing (HVA) and normal vascular ageing (NVA); Step 3: re-classification of participants with arterial hypertension or type 2 diabetes mellitus included in HVA as NVA. The total prevalence of HVA and EVA was 8.4% and 21.4%, respectively. All the analysed anthropometric indices, except waist/hip ratio (WHpR), were associated with vascular ageing. Thus, as the values of the different anthropometric indices increase, the probability of being classified with NVA and as EVA increases. The capacity of the anthropometric indices to identify people with HVA showed values of area under the curve (AUC) ≥ 0.60. The capacity to identify people with EVA, in total, showed values of AUC between 0.55 and 0.60. In conclusion, as the values of the anthropometric indices increased, the probability that the subjects presented EVA increased. However, the relationship of the new anthropometric indices with vascular ageing was not stronger than that of traditional parameters. Therefore, BMI and WC can be considered to be the most useful indices in clinical practice to identify people with vascular ageing in the general population.
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spelling pubmed-91052962022-05-14 Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study Gómez-Sánchez, Leticia Gómez-Sánchez, Marta Rodríguez-Sánchez, Emiliano Patino-Alonso, Carmen Alonso-Dominguez, Rosario Sanchez-Aguadero, Natalia Lugones-Sánchez, Cristina Llamas-Ramos, Ines García-Ortiz, Luis Gómez-Marcos, Manuel A. J Clin Med Article The objectives of this study were to analyse the capacity of different anthropometric indices to predict vascular ageing and this association in Spanish adult population without cardiovascular disease. A total of 501 individuals without cardiovascular disease residing in the capital of Salamanca (Spain) were selected (mean age: 55.9 years, 50.3% women), through stratified random sampling by age and sex. Starting from anthropometric measurements such as weight, height, and waist circumference, hip circumference, or biochemical parameters, we could estimate different indices that reflected general obesity, abdominal obesity, and body fat distribution. Arterial stiffness was evaluated by measuring carotid-femoral pulse wave velocity (cf-PWV) using a SphygmoCor(®) device. Vascular ageing was defined in three steps: Step 1: the participants with vascular injury were classified as early vascular ageing (EVA); Step 2: classification of the participants using the 10 and 90 percentiles of cf-PWV in the study population by age and sex in EVA, healthy vascular ageing (HVA) and normal vascular ageing (NVA); Step 3: re-classification of participants with arterial hypertension or type 2 diabetes mellitus included in HVA as NVA. The total prevalence of HVA and EVA was 8.4% and 21.4%, respectively. All the analysed anthropometric indices, except waist/hip ratio (WHpR), were associated with vascular ageing. Thus, as the values of the different anthropometric indices increase, the probability of being classified with NVA and as EVA increases. The capacity of the anthropometric indices to identify people with HVA showed values of area under the curve (AUC) ≥ 0.60. The capacity to identify people with EVA, in total, showed values of AUC between 0.55 and 0.60. In conclusion, as the values of the anthropometric indices increased, the probability that the subjects presented EVA increased. However, the relationship of the new anthropometric indices with vascular ageing was not stronger than that of traditional parameters. Therefore, BMI and WC can be considered to be the most useful indices in clinical practice to identify people with vascular ageing in the general population. MDPI 2022-05-09 /pmc/articles/PMC9105296/ /pubmed/35566797 http://dx.doi.org/10.3390/jcm11092671 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gómez-Sánchez, Leticia
Gómez-Sánchez, Marta
Rodríguez-Sánchez, Emiliano
Patino-Alonso, Carmen
Alonso-Dominguez, Rosario
Sanchez-Aguadero, Natalia
Lugones-Sánchez, Cristina
Llamas-Ramos, Ines
García-Ortiz, Luis
Gómez-Marcos, Manuel A.
Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study
title Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study
title_full Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study
title_fullStr Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study
title_full_unstemmed Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study
title_short Relationship of Different Anthropometric Indices with Vascular Ageing in an Adult Population without Cardiovascular Disease—EVA Study
title_sort relationship of different anthropometric indices with vascular ageing in an adult population without cardiovascular disease—eva study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105296/
https://www.ncbi.nlm.nih.gov/pubmed/35566797
http://dx.doi.org/10.3390/jcm11092671
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