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Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults

Although several indices used in clinical practice identify cardiometabolic risk (CR) and metabolic syndrome (MetS), it is imperative to develop indices for specific populations. Therefore, we proposed and validated sex-specific indices to identify CR associated with visceral adipose tissue (VAT) ac...

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Autores principales: Rodríguez-Carrillo, Patricia Lizett, Aguirre-Tostado, Priscila Irene, Macías-Cervantes, Maciste H., Alegría-Torres, Jorge Alejandro, Luevano-Contreras, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620800/
https://www.ncbi.nlm.nih.gov/pubmed/34828607
http://dx.doi.org/10.3390/healthcare9111561
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author Rodríguez-Carrillo, Patricia Lizett
Aguirre-Tostado, Priscila Irene
Macías-Cervantes, Maciste H.
Alegría-Torres, Jorge Alejandro
Luevano-Contreras, Claudia
author_facet Rodríguez-Carrillo, Patricia Lizett
Aguirre-Tostado, Priscila Irene
Macías-Cervantes, Maciste H.
Alegría-Torres, Jorge Alejandro
Luevano-Contreras, Claudia
author_sort Rodríguez-Carrillo, Patricia Lizett
collection PubMed
description Although several indices used in clinical practice identify cardiometabolic risk (CR) and metabolic syndrome (MetS), it is imperative to develop indices for specific populations. Therefore, we proposed and validated sex-specific indices to identify CR associated with visceral adipose tissue (VAT) accumulation or MetS in Mexican adults. Additionally, a cut-off value for the visceral fat area (VFA) to identify CR was proposed. Clinical, anthropometric, biochemical, and body composition variables were evaluated in 904 subjects (25–45 years old) (84.4% men). Multiple and logistic regressions were used to model the indices and ROC curve analysis to determine predictive performance. An additional cohort (n = 186) was used for indices validation, and Cohen’s kappa coefficient was employed for agreement analysis. The proposed sex-specific indices, called Mexican adiposity indices (MAIs) and biochemical–anthropometric indices (BAIs), were good predictors for CR and MetS. The kappa coefficients showed a moderate agreement level. The VFA cut-off value chosen to identify CR was 100.3 cm(2) because it had the best combination of sensitivity (66.8%) and specificity (64.4%). MAIs and BAIs could be clinical tools to identify either CR associated to VAT accumulation or MetS, respectively. A VFA cut-off value of 100.3 cm(2) could identify CR in Mexican men.
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spelling pubmed-86208002021-11-27 Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults Rodríguez-Carrillo, Patricia Lizett Aguirre-Tostado, Priscila Irene Macías-Cervantes, Maciste H. Alegría-Torres, Jorge Alejandro Luevano-Contreras, Claudia Healthcare (Basel) Article Although several indices used in clinical practice identify cardiometabolic risk (CR) and metabolic syndrome (MetS), it is imperative to develop indices for specific populations. Therefore, we proposed and validated sex-specific indices to identify CR associated with visceral adipose tissue (VAT) accumulation or MetS in Mexican adults. Additionally, a cut-off value for the visceral fat area (VFA) to identify CR was proposed. Clinical, anthropometric, biochemical, and body composition variables were evaluated in 904 subjects (25–45 years old) (84.4% men). Multiple and logistic regressions were used to model the indices and ROC curve analysis to determine predictive performance. An additional cohort (n = 186) was used for indices validation, and Cohen’s kappa coefficient was employed for agreement analysis. The proposed sex-specific indices, called Mexican adiposity indices (MAIs) and biochemical–anthropometric indices (BAIs), were good predictors for CR and MetS. The kappa coefficients showed a moderate agreement level. The VFA cut-off value chosen to identify CR was 100.3 cm(2) because it had the best combination of sensitivity (66.8%) and specificity (64.4%). MAIs and BAIs could be clinical tools to identify either CR associated to VAT accumulation or MetS, respectively. A VFA cut-off value of 100.3 cm(2) could identify CR in Mexican men. MDPI 2021-11-16 /pmc/articles/PMC8620800/ /pubmed/34828607 http://dx.doi.org/10.3390/healthcare9111561 Text en © 2021 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
Rodríguez-Carrillo, Patricia Lizett
Aguirre-Tostado, Priscila Irene
Macías-Cervantes, Maciste H.
Alegría-Torres, Jorge Alejandro
Luevano-Contreras, Claudia
Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
title Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
title_full Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
title_fullStr Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
title_full_unstemmed Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
title_short Novel Adiposity and Biochemical–Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults
title_sort novel adiposity and biochemical–anthropometric indices to identify cardiometabolic risk and metabolic syndrome in mexican adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620800/
https://www.ncbi.nlm.nih.gov/pubmed/34828607
http://dx.doi.org/10.3390/healthcare9111561
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