Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people

Fat-to-muscle ratio has been proposed as an alternative approach for assessing body fat. The objective of this study was to explore fat-to-muscle ratio thresholds in metabolic syndrome (MetS) diagnosis; it was hypothesised that the fat-to-muscle ratio is a good predictive indicator of MetS in a larg...

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Autores Principales: Ramírez-Vélez, Robinson, Carrillo, Hugo Alejandro, Correa Bautista, Jorge Enrique, Schmidt-RioValle, Jacqueline, González Jiménez, Emilio, Correa-Rodríguez, María, González-Ruíz, Katherine, García-Hermoso, Antonio
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: 2018
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Acceso en línea:http://repository.urosario.edu.co/handle/10336/19202
id ir-10336-19202
recordtype dspace
spelling ir-10336-192022019-09-19T12:37:54Z Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people Ramírez-Vélez, Robinson Carrillo, Hugo Alejandro Correa Bautista, Jorge Enrique Schmidt-RioValle, Jacqueline González Jiménez, Emilio Correa-Rodríguez, María González-Ruíz, Katherine García-Hermoso, Antonio Adult Anthropometry Article Body Fat Body Mass Colombian Cross-Sectional Study Female Human Major Clinical Study Male Metabolic Syndrome X Receiver Operating Characteristic Screening Sensitivity And Specificity Young Adult Fisiología humana Grasa (Fisiología) Tejido adiposo Antropometría Edad adulta Fat-to-muscle ratio has been proposed as an alternative approach for assessing body fat. The objective of this study was to explore fat-to-muscle ratio thresholds in metabolic syndrome (MetS) diagnosis; it was hypothesised that the fat-to-muscle ratio is a good predictive indicator of MetS in a large population of young Colombian adults. For this purpose, a cross-sectional study was conducted on 1416 subjects (66.6% female), aged from 18.1 to 25.1. As part of the study, measurements of the subjects’ anthropometric indicators, serum lipid indices, blood pressure, and fasting plasma glucose were taken. Body composition was measured through bioelectrical impedance analysis (BIA). A new variable (ratio of fat mass to muscle mass, in kg) was calculated. Following the International Diabetes Federation (IDF) definition, MetS includes three or more metabolic abnormalities. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of the fat-to-muscle ratio to predict MetS. According to the IDF, the best fat-to-muscle ratio cut-off point for detecting MetS in men was 0.225 kg, with an area under the curve (AUC) of 0.83, sensitivity of 80%, and specificity of 70%. For women, the fat-to-muscle ratio cut-off point was 0.495 kg, the AUC was 0.88, and the sensitivity and specificity were 82% and 80%, respectively. In conclusion, our results showed that the fat-to-muscle ratio cut-off points from ROC analyses demonstrate good discriminatory power for detecting MetS in young Colombian adults. © 2018 by the authors. Licensee MDPI, Basel, Switzerland. 2018 2019-03-06T17:17:02Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2072-6643 http://repository.urosario.edu.co/handle/10336/19202 10.3390/nu10081027 eng info:eu-repo/semantics/openAccess application/pdf Mottillo, S., Filion, K.B., Genest, J., Joseph, L., Pilote, L., Poirier, P., Rinfret, S., Eisenberg, M.J., The Metabolic Syndrome and Cardiovascular Risk (2010) J. Am. Coll. Cardiol., 56, pp. 1113-1132
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Adult
Anthropometry
Article
Body Fat
Body Mass
Colombian
Cross-Sectional Study
Female
Human
Major Clinical Study
Male
Metabolic Syndrome X
Receiver Operating Characteristic
Screening
Sensitivity And Specificity
Young Adult
Fisiología humana
Grasa (Fisiología)
Tejido adiposo
Antropometría
Edad adulta
spellingShingle Adult
Anthropometry
Article
Body Fat
Body Mass
Colombian
Cross-Sectional Study
Female
Human
Major Clinical Study
Male
Metabolic Syndrome X
Receiver Operating Characteristic
Screening
Sensitivity And Specificity
Young Adult
Fisiología humana
Grasa (Fisiología)
Tejido adiposo
Antropometría
Edad adulta
Ramírez-Vélez, Robinson
Carrillo, Hugo Alejandro
Correa Bautista, Jorge Enrique
Schmidt-RioValle, Jacqueline
González Jiménez, Emilio
Correa-Rodríguez, María
González-Ruíz, Katherine
García-Hermoso, Antonio
Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
description Fat-to-muscle ratio has been proposed as an alternative approach for assessing body fat. The objective of this study was to explore fat-to-muscle ratio thresholds in metabolic syndrome (MetS) diagnosis; it was hypothesised that the fat-to-muscle ratio is a good predictive indicator of MetS in a large population of young Colombian adults. For this purpose, a cross-sectional study was conducted on 1416 subjects (66.6% female), aged from 18.1 to 25.1. As part of the study, measurements of the subjects’ anthropometric indicators, serum lipid indices, blood pressure, and fasting plasma glucose were taken. Body composition was measured through bioelectrical impedance analysis (BIA). A new variable (ratio of fat mass to muscle mass, in kg) was calculated. Following the International Diabetes Federation (IDF) definition, MetS includes three or more metabolic abnormalities. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of the fat-to-muscle ratio to predict MetS. According to the IDF, the best fat-to-muscle ratio cut-off point for detecting MetS in men was 0.225 kg, with an area under the curve (AUC) of 0.83, sensitivity of 80%, and specificity of 70%. For women, the fat-to-muscle ratio cut-off point was 0.495 kg, the AUC was 0.88, and the sensitivity and specificity were 82% and 80%, respectively. In conclusion, our results showed that the fat-to-muscle ratio cut-off points from ROC analyses demonstrate good discriminatory power for detecting MetS in young Colombian adults. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
format Artículo (Article)
author Ramírez-Vélez, Robinson
Carrillo, Hugo Alejandro
Correa Bautista, Jorge Enrique
Schmidt-RioValle, Jacqueline
González Jiménez, Emilio
Correa-Rodríguez, María
González-Ruíz, Katherine
García-Hermoso, Antonio
author_facet Ramírez-Vélez, Robinson
Carrillo, Hugo Alejandro
Correa Bautista, Jorge Enrique
Schmidt-RioValle, Jacqueline
González Jiménez, Emilio
Correa-Rodríguez, María
González-Ruíz, Katherine
García-Hermoso, Antonio
author_sort Ramírez-Vélez, Robinson
title Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
title_short Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
title_full Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
title_fullStr Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
title_full_unstemmed Fat-to-muscle ratio : A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
title_sort fat-to-muscle ratio : a new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people
publishDate 2018
url http://repository.urosario.edu.co/handle/10336/19202
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score 12,131701