Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People

Robinson Ramírez-Vélez; Hugo Alejandro Carrillo; Jorge Enrique Correa-Bautista; Jacqueline Schmidt-Riovalle; Emilio González-Jiménez; María Correa-Rodríguez; Katherine González-Ruíz; Antonio García-Hermoso

doi:10.3390/nu10081027

Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People

Título traducido de la contribución: Relación grasa-músculo: Un nuevo indicador antropométrico como herramienta de detección del síndrome metabólico en jóvenes colombianos

Robinson Ramírez-Vélez, Hugo Alejandro Carrillo, Jorge Enrique Correa-Bautista, Jacqueline Schmidt-Riovalle, Emilio González-Jiménez, María Correa-Rodríguez, Katherine González-Ruíz, Antonio García-Hermoso

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Resumen

Se ha propuesto la relación grasa-músculo como un enfoque alternativo para evaluar la grasa corporal. El objetivo de este estudio fue explorar los umbrales de relación grasa-músculo en el diagnóstico del síndrome metabólico (SM); se planteó la hipótesis de que la relación grasa-músculo es un buen indicador predictivo del SM en una gran población de adultos jóvenes colombianos. Para ello, se realizó un estudio transversal sobre 1.416 sujetos (66,6% mujeres), de 18,1 a 25,1 años de edad. Como parte del estudio, se tomaron medidas de los indicadores antropométricos de los sujetos, los índices de lípidos séricos, la presión arterial y la glucosa en plasma en ayunas. La composición corporal se midió mediante análisis de impedancia bioeléctrica (BIA). Se calculó una nueva variable (relación entre la masa grasa y la masa muscular, en kg). Siguiendo la definición de la Federación Internacional de Diabetes (FID), el MetS incluye tres o más anomalías metabólicas. Las curvas de características operativas del receptor (ROC) y la regresión logística determinaron la capacidad discriminatoria de la relación grasa-músculo para predecir la MetS. Según la FID, el mejor punto de corte de la relación grasa-músculo para detectar MetS en los hombres fue de 0,225 kg, con un área bajo la curva (AUC) de 0,83, una sensibilidad del 80% y una especificidad del 70%. Para las mujeres, el punto de corte de la relación grasa-músculo fue de 0,495 kg, las AUC fueron de 0,88, y la sensibilidad y especificidad fueron de 82% y 80%, respectivamente. En conclusión, nuestros resultados mostraron que los puntos de corte de la relación grasa-músculo de los análisis de ROC demuestran un buen poder discriminatorio para detectar MetS en adultos jóvenes colombianos.

Título traducido de la contribución	Relación grasa-músculo: Un nuevo indicador antropométrico como herramienta de detección del síndrome metabólico en jóvenes colombianos
Idioma original	Inglés estadounidense
Número de artículo	1027
Publicación	Nutrients
Volumen	10
N.º	8
DOI	https://doi.org/10.3390/nu10081027
Estado	Publicada - ago. 7 2018

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Alimentación
Nutrición y dietética

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Ramírez-Vélez, R., Carrillo, H. A., Correa-Bautista, J. E., Schmidt-Riovalle, J., González-Jiménez, E., Correa-Rodríguez, M., González-Ruíz, K., & García-Hermoso, A. (2018). Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People. Nutrients, 10(8), Artículo 1027. https://doi.org/10.3390/nu10081027

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title = "Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People",

abstract = "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{\textquoteright} 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.",

author = "Robinson Ram{\'i}rez-V{\'e}lez and Carrillo, {Hugo Alejandro} and Correa-Bautista, {Jorge Enrique} and Jacqueline Schmidt-Riovalle and Emilio Gonz{\'a}lez-Jim{\'e}nez and Mar{\'i}a Correa-Rodr{\'i}guez and Katherine Gonz{\'a}lez-Ru{\'i}z and Antonio Garc{\'i}a-Hermoso",

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AU - Carrillo, Hugo Alejandro

AU - Correa-Bautista, Jorge Enrique

AU - Schmidt-Riovalle, Jacqueline

AU - González-Jiménez, Emilio

AU - Correa-Rodríguez, María

AU - González-Ruíz, Katherine

AU - García-Hermoso, Antonio

PY - 2018/8/7

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AB - 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.

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Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People

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