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

Resultado de la investigación: Contribución a RevistaArtículo

1 Cita (Scopus)

Resumen

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.

Idioma originalEnglish (US)
Número de artículo1027
PublicaciónNutrients
Volumen10
N.º8
DOI
EstadoPublished - ago 7 2018

All Science Journal Classification (ASJC) codes

  • Food Science
  • Nutrition and Dietetics

Citar esto

Ramírez-Vélez, R., Carrillo, H. A., Correa-Bautista, J. E., Schmidt-Riovalle, J., González-Jiménez, E., Correa-Rodríguez, M., ... 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), [1027]. https://doi.org/10.3390/nu10081027
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. En: Nutrients. 2018 ; Vol. 10, N.º 8.
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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’ 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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Ramírez-Vélez, R, Carrillo, HA, Correa-Bautista, JE, 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, vol. 10, n.º 8, 1027. https://doi.org/10.3390/nu10081027

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.

En: Nutrients, Vol. 10, N.º 8, 1027, 07.08.2018.

Resultado de la investigación: Contribución a RevistaArtículo

TY - JOUR

T1 - Fat-to-muscle ratio

T2 - A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people

AU - Ramírez-Vélez, Robinson

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

Y1 - 2018/8/7

N2 - 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.

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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Ramírez-Vélez R, Carrillo HA, Correa-Bautista JE, Schmidt-Riovalle J, González-Jiménez E, Correa-Rodríguez M y otros. Fat-to-muscle ratio: A new anthropometric indicator as a screening tool for metabolic syndrome in young colombian people. Nutrients. 2018 ago 7;10(8). 1027. https://doi.org/10.3390/nu10081027