Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students

Jorge Enrique Correa-Bautista, Katherine González-Ruíz, Andrés Vivas, Héctor Reynaldo Triana-Reina, Javier Martínez-Torres, Daniel Humberto Prieto-Benavides, Hugo Alejandro Carrillo, Jeison Alexander Ramos-Sepúlveda, María Isabel Afanador-Rodríguez, Emilio Villa-González, Antonio García-Hermoso, Robinson Ramírez-Vélez

Resultado de la investigación: Contribución a RevistaArtículo de revisión

Resumen

PROPÓSITO:
La obesidad y la grasa corporal elevada están relacionadas con la diabetes y el síndrome metabólico (SM) en todos los grupos étnicos. Basado en la definición de MetS de la Federación Internacional de Diabetes (FID), el objetivo del presente estudio fue comparar los índices de adiposidad corporal (IAB) y evaluar sus diversos valores de corte para la predicción de MetS en estudiantes universitarios de Colombia.

MÉTODOS:
Se realizó un estudio transversal en 886 voluntarios (51,9% mujeres; edad media 21,4 años). Se midieron las características antropométricas (altura, peso, circunferencia de la cintura[WC] y circunferencia de la cadera[HC]) y se evaluó la composición corporal mediante un análisis de impedancia bioeléctrica. MetS se definió incluyendo ≥ de las anomalías metabólicas (WC, colesterol de lipoproteínas de alta densidad[HDL-C], triglicéridos, glucosa en ayunas y presión arterial sistólica y diastólica[PA]) en la definición proporcionada por la FID. Las BAI (es decir, BAI-HC[BAI], BAI-WC[BAI-w] y[BAI-p]) se calcularon a partir de fórmulas que tenían en cuenta la altura, el peso y el WC, y para los índices de adiposidad visceral se utilizó una fórmula que incluía WC, HDL-C y triglicéridos.

RESULTADOS:
La prevalencia general de MetS fue de 5.9%, más alta en hombres que en mujeres. Los componentes más prevalentes fueron los bajos niveles de HDL-C, los altos niveles de triglicéridos, WC y BP. El análisis de las curvas características operativas del receptor mostró que BAI, BAI-w, y BAI-p podrían ser herramientas útiles para predecir la MetS en esta población.

CONCLUSIÓN:
Para las mujeres, el umbral óptimo de MetS fue de 30.34 (área bajo curva[AUC] = 0.720-0.863), 19.10 (AUC = 0.799-0.925), y 29.68 (AUC = 0.779-0.901), para BAI, BAI-w, y BAI-p, respectivamente. Para los hombres, el umbral óptimo de MetS fue de 27,83 (AUC = 0,726-0,873), 21,48 (AUC = 0,755-0,906) y 26,18 (AUC = 0,766-0,894), para BAI, BAI-w y BAI-p, respectivamente. Los tres índices pueden ser herramientas útiles para predecir la MetS de acuerdo con los criterios de la FID en estudiantes universitarios de Colombia. Se necesitan datos sobre muestras más grandes.
Idioma originalEnglish (US)
Páginas (desde-hasta)363-370
Número de páginas8
PublicaciónMetabolic Syndrome and Related Disorders
Volumen15
N.º7
DOI
EstadoPublished - sep 1 2017

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

Citar esto

Correa-Bautista, J. E., González-Ruíz, K., Vivas, A., Triana-Reina, H. R., Martínez-Torres, J., Prieto-Benavides, D. H., ... Ramírez-Vélez, R. (2017). Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students. Metabolic Syndrome and Related Disorders, 15(7), 363-370. https://doi.org/10.1089/met.2017.0016
Correa-Bautista, Jorge Enrique ; González-Ruíz, Katherine ; Vivas, Andrés ; Triana-Reina, Héctor Reynaldo ; Martínez-Torres, Javier ; Prieto-Benavides, Daniel Humberto ; Carrillo, Hugo Alejandro ; Ramos-Sepúlveda, Jeison Alexander ; Afanador-Rodríguez, María Isabel ; Villa-González, Emilio ; García-Hermoso, Antonio ; Ramírez-Vélez, Robinson. / Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students. En: Metabolic Syndrome and Related Disorders. 2017 ; Vol. 15, N.º 7. pp. 363-370.
@article{e482bb8b87d74655b3a201119cc11e75,
title = "Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students",
abstract = "Purpose: Obesity and high body fat are related to diabetes and metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the present study was to compare body adiposity indexes (BAIs) and to assess their various cutoff values for the prediction of MetS in university students from Colombia. Methods: A cross-sectional study was conducted on 886 volunteers (51.9{\%} woman; age mean 21.4 years). Anthropometric characteristics (height, weight, waist circumference [WC], and hip circumference [HC]) were measured, and body composition was assessed by bioelectrical impedance analysis. MetS was defined as including ≥3 of the metabolic abnormalities (WC, high-density lipoprotein cholesterol [HDL-C], triglycerides, fasting glucose, and systolic and diastolic blood pressure [BP]) in the definition provided by the IDF. The BAIs (i.e., BAI-HC [BAI], BAI-WC [BAI-w], and [BAI-p]) were calculated from formulas taking into account, height, weight, and WC, and for the visceral adiposity indexes, a formula, including WC, HDL-C, and triglycerides, was used. Results: The overall prevalence of MetS was 5.9{\%}, higher in men than in women. The most prevalent components were low HDL-C, high triglyceride levels, WC, and BP levels. The receiver operating characteristic curves analysis showed that BAI, BAI-w, and BAI-p could be useful tools to predict MetS in this population. Conclusion: For women, the optimal MetS threshold was found to be 30.34 (area under curve [AUC] = 0.720-0.863), 19.10 (AUC = 0.799-0.925), and 29.68 (AUC = 0.779-0.901), for BAI, BAI-w, and BAI-p, respectively. For men, the optimal MetS threshold was found to be 27.83 (AUC = 0.726-0.873), 21.48 (AUC = 0.755-0.906), and 26.18 (AUC = 0.766-0.894), for BAI, BAI-w, and BAI-p, respectively. The three indexes can be useful tools to predict MetS according to the IDF criteria in university students from Colombia. Data on larger samples are needed.",
author = "Correa-Bautista, {Jorge Enrique} and Katherine Gonz{\'a}lez-Ru{\'i}z and Andr{\'e}s Vivas and Triana-Reina, {H{\'e}ctor Reynaldo} and Javier Mart{\'i}nez-Torres and Prieto-Benavides, {Daniel Humberto} and Carrillo, {Hugo Alejandro} and Ramos-Sep{\'u}lveda, {Jeison Alexander} and Afanador-Rodr{\'i}guez, {Mar{\'i}a Isabel} and Emilio Villa-Gonz{\'a}lez and Antonio Garc{\'i}a-Hermoso and Robinson Ram{\'i}rez-V{\'e}lez",
year = "2017",
month = "9",
day = "1",
doi = "10.1089/met.2017.0016",
language = "English (US)",
volume = "15",
pages = "363--370",
journal = "Metabolic Syndrome and Related Disorders",
issn = "1540-4196",
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Correa-Bautista, JE, González-Ruíz, K, Vivas, A, Triana-Reina, HR, Martínez-Torres, J, Prieto-Benavides, DH, Carrillo, HA, Ramos-Sepúlveda, JA, Afanador-Rodríguez, MI, Villa-González, E, García-Hermoso, A & Ramírez-Vélez, R 2017, 'Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students', Metabolic Syndrome and Related Disorders, vol. 15, n.º 7, pp. 363-370. https://doi.org/10.1089/met.2017.0016

Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students. / Correa-Bautista, Jorge Enrique; González-Ruíz, Katherine; Vivas, Andrés; Triana-Reina, Héctor Reynaldo; Martínez-Torres, Javier; Prieto-Benavides, Daniel Humberto; Carrillo, Hugo Alejandro; Ramos-Sepúlveda, Jeison Alexander; Afanador-Rodríguez, María Isabel; Villa-González, Emilio; García-Hermoso, Antonio; Ramírez-Vélez, Robinson.

En: Metabolic Syndrome and Related Disorders, Vol. 15, N.º 7, 01.09.2017, p. 363-370.

Resultado de la investigación: Contribución a RevistaArtículo de revisión

TY - JOUR

T1 - Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students

AU - Correa-Bautista, Jorge Enrique

AU - González-Ruíz, Katherine

AU - Vivas, Andrés

AU - Triana-Reina, Héctor Reynaldo

AU - Martínez-Torres, Javier

AU - Prieto-Benavides, Daniel Humberto

AU - Carrillo, Hugo Alejandro

AU - Ramos-Sepúlveda, Jeison Alexander

AU - Afanador-Rodríguez, María Isabel

AU - Villa-González, Emilio

AU - García-Hermoso, Antonio

AU - Ramírez-Vélez, Robinson

PY - 2017/9/1

Y1 - 2017/9/1

N2 - Purpose: Obesity and high body fat are related to diabetes and metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the present study was to compare body adiposity indexes (BAIs) and to assess their various cutoff values for the prediction of MetS in university students from Colombia. Methods: A cross-sectional study was conducted on 886 volunteers (51.9% woman; age mean 21.4 years). Anthropometric characteristics (height, weight, waist circumference [WC], and hip circumference [HC]) were measured, and body composition was assessed by bioelectrical impedance analysis. MetS was defined as including ≥3 of the metabolic abnormalities (WC, high-density lipoprotein cholesterol [HDL-C], triglycerides, fasting glucose, and systolic and diastolic blood pressure [BP]) in the definition provided by the IDF. The BAIs (i.e., BAI-HC [BAI], BAI-WC [BAI-w], and [BAI-p]) were calculated from formulas taking into account, height, weight, and WC, and for the visceral adiposity indexes, a formula, including WC, HDL-C, and triglycerides, was used. Results: The overall prevalence of MetS was 5.9%, higher in men than in women. The most prevalent components were low HDL-C, high triglyceride levels, WC, and BP levels. The receiver operating characteristic curves analysis showed that BAI, BAI-w, and BAI-p could be useful tools to predict MetS in this population. Conclusion: For women, the optimal MetS threshold was found to be 30.34 (area under curve [AUC] = 0.720-0.863), 19.10 (AUC = 0.799-0.925), and 29.68 (AUC = 0.779-0.901), for BAI, BAI-w, and BAI-p, respectively. For men, the optimal MetS threshold was found to be 27.83 (AUC = 0.726-0.873), 21.48 (AUC = 0.755-0.906), and 26.18 (AUC = 0.766-0.894), for BAI, BAI-w, and BAI-p, respectively. The three indexes can be useful tools to predict MetS according to the IDF criteria in university students from Colombia. Data on larger samples are needed.

AB - Purpose: Obesity and high body fat are related to diabetes and metabolic syndrome (MetS) in all ethnic groups. Based on the International Diabetes Federation (IDF) definition of MetS, the aim of the present study was to compare body adiposity indexes (BAIs) and to assess their various cutoff values for the prediction of MetS in university students from Colombia. Methods: A cross-sectional study was conducted on 886 volunteers (51.9% woman; age mean 21.4 years). Anthropometric characteristics (height, weight, waist circumference [WC], and hip circumference [HC]) were measured, and body composition was assessed by bioelectrical impedance analysis. MetS was defined as including ≥3 of the metabolic abnormalities (WC, high-density lipoprotein cholesterol [HDL-C], triglycerides, fasting glucose, and systolic and diastolic blood pressure [BP]) in the definition provided by the IDF. The BAIs (i.e., BAI-HC [BAI], BAI-WC [BAI-w], and [BAI-p]) were calculated from formulas taking into account, height, weight, and WC, and for the visceral adiposity indexes, a formula, including WC, HDL-C, and triglycerides, was used. Results: The overall prevalence of MetS was 5.9%, higher in men than in women. The most prevalent components were low HDL-C, high triglyceride levels, WC, and BP levels. The receiver operating characteristic curves analysis showed that BAI, BAI-w, and BAI-p could be useful tools to predict MetS in this population. Conclusion: For women, the optimal MetS threshold was found to be 30.34 (area under curve [AUC] = 0.720-0.863), 19.10 (AUC = 0.799-0.925), and 29.68 (AUC = 0.779-0.901), for BAI, BAI-w, and BAI-p, respectively. For men, the optimal MetS threshold was found to be 27.83 (AUC = 0.726-0.873), 21.48 (AUC = 0.755-0.906), and 26.18 (AUC = 0.766-0.894), for BAI, BAI-w, and BAI-p, respectively. The three indexes can be useful tools to predict MetS according to the IDF criteria in university students from Colombia. Data on larger samples are needed.

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Correa-Bautista JE, González-Ruíz K, Vivas A, Triana-Reina HR, Martínez-Torres J, Prieto-Benavides DH y otros. Comparison of Three Adiposity Indexes and Cutoff Values to Predict Metabolic Syndrome among University Students. Metabolic Syndrome and Related Disorders. 2017 sep 1;15(7):363-370. https://doi.org/10.1089/met.2017.0016