Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students.
Robinson Ramírez-Vélez,Jorge Enrique Correa-Bautista,Alejandra Sanders-Tordecilla,Mónica Liliana Ojeda-Pardo,Elisa Andrea Cobo-Mejía,Rocío del Pilar Castellanos-Vega,Antonio García-Hermoso,Emilio González-Jiménez,Jacqueline Schmidt-RioValle,Katherine González-Ruíz +9 more
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TLDR
ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students, and both indexes’ thresholds seem to be good tools to identify university students with unfavorable metabolic profiles.Abstract:
High body fat is related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of this study was to explore thresholds of body fat percentage (BF%) and fat mass index (FMI) for the prediction of MetS among Colombian University students. A cross-sectional study was conducted on 1687 volunteers (63.4% women, mean age = 20.6 years). Weight, waist circumference, serum lipids indices, blood pressure, and fasting plasma glucose were measured. Body composition was measured by bioelectrical impedance analysis (BIA) and FMI was calculated. MetS was defined as including more than or equal to three of the metabolic abnormalities according to the IDF definition. Receiver operating curve (ROC) analysis was used to determine optimal cut-off points for BF% and FMI in relation to the area under the curve (AUC), sensitivity, and specificity in both sexes. The overall prevalence of MetS was found to be 7.7%, higher in men than women (11.1% vs. 5.3%; p < 0.001). BF% and FMI were positively correlated to MetS components (p < 0.05). ROC analysis indicated that BF% and FMI can be used with moderate accuracy to identify MetS in university-aged students. BF% and FMI thresholds of 25.55% and 6.97 kg/m² in men, and 38.95% and 11.86 kg/m² in women, were found to be indicative of high MetS risk. Based on the IDF criteria, both indexes' thresholds seem to be good tools to identify university students with unfavorable metabolic profiles.read more
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Tri-Ponderal Mass Index vs. Fat Mass/Height3 as a Screening Tool for Metabolic Syndrome Prediction in Colombian Children and Young People
Robinson Ramírez-Vélez,Jorge Enrique Correa-Bautista,Hugo Alejandro Carrillo,Emilio González-Jiménez,Jacqueline Schmidt-RioValle,María Correa-Rodríguez,Antonio García-Hermoso,Katherine González-Ruíz +7 more
TL;DR: The results showed that the FMI and TMI had a moderate discriminatory power to detect MetS in Colombian children, adolescents, and young adults.
Journal ArticleDOI
Fat-to-muscle ratio as a predictor of insulin resistance and metabolic syndrome in Korean adults.
TL;DR: The present study evaluated the associations of the fat‐to‐muscle ratio (FMR) with metabolic syndrome (MetS) and insulin resistance (IR) in Korean adults using nationally representative survey data.
Journal ArticleDOI
Normal-Weight Obesity Is Associated with Increased Cardiometabolic Risk in Young Adults.
María Correa-Rodríguez,Katherine González-Ruíz,David Rincón-Pabón,Mikel Izquierdo,Mikel Izquierdo,Antonio García-Hermoso,Antonio García-Hermoso,César Agostinis-Sobrinho,Nohora Sánchez-Capacho,Marcela Roa-Cubaque,Robinson Ramírez-Vélez,Robinson Ramírez-Vélez +11 more
TL;DR: Screening for adiposity in subjects with a normal BMI could help to identify young adults at a high risk of cardiometabolic abnormalities in early adulthood.
Journal ArticleDOI
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 +7 more
TL;DR: 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.
Journal ArticleDOI
Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.
Paola Piqueras,Alfredo Ballester,Juan V. Durá-Gil,Sergio Martínez-Hervás,Josep Redon,José T. Real +5 more
TL;DR: A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations as discussed by the authors.
References
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TL;DR: These findings are consistent with the hypothesized role of visceral fat as a unique, pathogenic fat depot and Measurement of VAT may provide a more complete understanding of metabolic risk associated with variation in fat distribution.