Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students

Background: Visceral obesity and high body fat percentages are related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the study was to explore thresholds of body fat (BF%) and the visceral fat area (VFA) for the...

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Autor Principal: Romero Tovar, Lorena Isabel
Otros Autores: Ramírez-Vélez, Robinson
Formato: Tesis de maestría (Master Thesis)
Lenguaje:Español (Spanish)
Publicado: Universidad del Rosario 2017
Materias:
Acceso en línea:http://repository.urosario.edu.co/handle/10336/13616
id ir-10336-13616
recordtype dspace
institution EdocUR - Universidad del Rosario
collection DSpace
language Español (Spanish)
topic Obesity
Adiposity
Dyslipidemia
Metabolic syndrome
Fisiología humana
Obesidad
Adiposidad
Dislipidemias
Síndrome Metabólico
spellingShingle Obesity
Adiposity
Dyslipidemia
Metabolic syndrome
Fisiología humana
Obesidad
Adiposidad
Dislipidemias
Síndrome Metabólico
Romero Tovar, Lorena Isabel
Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students
description Background: Visceral obesity and high body fat percentages are related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the study was to explore thresholds of body fat (BF%) and the visceral fat area (VFA) for the prediction of MetS among Colombian university students. Methods: A cross-sectional study was conducted on 886 volunteers (51.9% women, mean age= 21.4 years). Weight, height, serum lipids indices, blood pressure, fasting plasma glucose, and waist circumference were measured. BF% and VFA were calculated by bioelectrical impedance analysis (BIA). MetS was defined as including ≥ 3 of the metabolic abnormalities according to the IDF definition. Results: The overall prevalence of MetS was found to be 5.9%, higher in men compared to women. BF% and VFA was positively correlated to MetS components (all p < 0.001). The optimal cutoff values for BF% in predicting MetS were 31.9% (sensitivity and specificity of 78.6 and 76.7%) in women and 20.3% in men (sensitivity and specificity of 79.5 and 82.5%). ROC curve for participants showed that VFA ≥ 4.9 mm in women and 4.3 mm in men are an indicator to best predict MetS for prediction in university students from Colombia. Conclusion: Based on the IDF criteria, both indexes were able to predict MetS in our population.
author2 Ramírez-Vélez, Robinson
author_facet Ramírez-Vélez, Robinson
Romero Tovar, Lorena Isabel
format Tesis de maestría (Master Thesis)
author Romero Tovar, Lorena Isabel
author_sort Romero Tovar, Lorena Isabel
title Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students
title_short Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students
title_full Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students
title_fullStr Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students
title_full_unstemmed Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students
title_sort cutoff values of the body fat mass and visceral adiposity for the prediction of metabolic syndrome in a sample of colombian university students
publisher Universidad del Rosario
publishDate 2017
url http://repository.urosario.edu.co/handle/10336/13616
_version_ 1645142182782304256
spelling ir-10336-136162019-09-19T12:37:54Z Cutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Students Running head: Adiposity and Metabolic Syndrome in Colombian University Students Romero Tovar, Lorena Isabel Ramírez-Vélez, Robinson Correa Bautista, Jorge Enrique Obesity Adiposity Dyslipidemia Metabolic syndrome Fisiología humana Obesidad Adiposidad Dislipidemias Síndrome Metabólico Background: Visceral obesity and high body fat percentages are related to metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the study was to explore thresholds of body fat (BF%) and the visceral fat area (VFA) for the prediction of MetS among Colombian university students. Methods: A cross-sectional study was conducted on 886 volunteers (51.9% women, mean age= 21.4 years). Weight, height, serum lipids indices, blood pressure, fasting plasma glucose, and waist circumference were measured. BF% and VFA were calculated by bioelectrical impedance analysis (BIA). MetS was defined as including ≥ 3 of the metabolic abnormalities according to the IDF definition. Results: The overall prevalence of MetS was found to be 5.9%, higher in men compared to women. BF% and VFA was positively correlated to MetS components (all p < 0.001). The optimal cutoff values for BF% in predicting MetS were 31.9% (sensitivity and specificity of 78.6 and 76.7%) in women and 20.3% in men (sensitivity and specificity of 79.5 and 82.5%). ROC curve for participants showed that VFA ≥ 4.9 mm in women and 4.3 mm in men are an indicator to best predict MetS for prediction in university students from Colombia. Conclusion: Based on the IDF criteria, both indexes were able to predict MetS in our population. 2017-05-12 2017-08-09T11:58:56Z info:eu-repo/semantics/masterThesis info:eu-repo/semantics/acceptedVersion http://repository.urosario.edu.co/handle/10336/13616 spa info:eu-repo/semantics/openAccess application/pdf Universidad del Rosario Maestría en Actividad Física y Salud Facultad de medicina instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR Ramírez-Vélez R, Correa-Bautista JE, González-Ruíz K, Vivas A, Triana-Reina HR, Martínez-Torres J, Prieto-Benavides DH, Carrillo HA, Ramos-Sepúlveda JA, VillaGonzález E, García-Hermoso A: Body Adiposity Index Performance in Estimating Body Fat Percentage in Colombian College Students: Findings from the FUPRECOL-Adults Study. Nutrients 2017, 9(1):pii:E40. Magliano DJ, Shaw JE, Zimmet PZ: How to best define the metabolic syndrome. Ann Med 2006, 38(1):34-41. 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