Ítem
Acceso Abierto

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

dc.contributor.advisorRamírez-Vélez, Robinson
dc.contributor.advisorCorrea Bautista, Jorge Enrique
dc.creatorRomero Tovar, Lorena Isabel
dc.creator.degreeMagíster en actividad física y salud
dc.date.accessioned2017-08-09T11:58:56Z
dc.date.available2017-08-09T11:58:56Z
dc.date.created2017-05-12
dc.date.issued2017
dc.description.abstractBackground: 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.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_13616
dc.identifier.urihttp://repository.urosario.edu.co/handle/10336/13616
dc.language.isospa
dc.publisherUniversidad del Rosariospa
dc.publisher.departmentFacultad de medicinaspa
dc.publisher.programMaestría en Actividad Física y Saludspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto completo)spa
dc.rights.licenciaEL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DEL ROSARIO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. -------------------------------------- POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DEL ROSARIO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo habeasdata@urosario.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datos.spa
dc.source.bibliographicCitationRamírez-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.
dc.source.bibliographicCitationMagliano DJ, Shaw JE, Zimmet PZ: How to best define the metabolic syndrome. Ann Med 2006, 38(1):34-41.
dc.source.bibliographicCitationWeiss R, Bremer AA, Lustig RH: What is metabolic syndrome, and why are children getting it? Annals of the New York Academy of Sciences 2013, 1281:123-140.
dc.source.bibliographicCitationFord ES, Chaoyang LI, Zhao G: Prevalence and correlates of metabolic syndrome based on a harmonious definition among adults in the US. Journal of Diabetes 2010, 2:180–193.
dc.source.bibliographicCitationMarcuello C, Calle-Pascual AL, Fuentes M, Runkle I, Rubio MA, Montañez C, RojoMartinez G, Soriguer F, Bordiu E, Goday A, Bosch-Comas A, Carmena R, Casamitjana R, Castaño L, Castell C, Catalá M, Delgado E, Franch J, Gaztambide S, Girbés J, Gomis R, Urrutia I, López-Alba A, Martínez-Larrad MT, Menéndez E, Mora-Peces I, Ortega E, Pascual-Manich G, Serrano-Rios M, Valdés S, Vázquez JA, Vendrell J: Prevalence of the metabolic syndrome in Spain using regional cutoff points for waist circumference: the di@bet.es study. Acta Diabetologica 2013, 50:615–623
dc.source.bibliographicCitationScuteri A, Laurent S, Cucca F, Cockcroft J, Cunha PG, Mañas LR, Mattace Raso FU, Muiesan ML, Ryliškytė L, Rietzschel E, Strait J, Vlachopoulos C, Völzke H, Lakatta EG, Nilsson PM; Metabolic Syndrome and Arteries Research (MARE) Consortium: Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol 2015, 22(4):486-491.
dc.source.bibliographicCitationGrundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F: Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Curr Opin Cardiol 2006, 21(1):1-6.
dc.source.bibliographicCitationGündogan K, Bayram F, Capak M, Tanriverdi F, Karaman A, Ozturk A, Altunbas H, Gökce C, Kalkan A, Yazici C: Prevalence of metabolic syndrome in the Mediterranean region of Turkey: evaluation of hypertension, diabetes mellitus, obesity, and dyslipidemia. Metab Syndr Relat Disord 2009, 7(5):427-434
dc.source.bibliographicCitationLópez-Jaramillo P, Sánchez RA, Díaz M, Cobos L, Bryce A, Parra-Carrillo JZ; nombre del Grupo de Expertos de Latinoamérica: Latin American consensus on hypertension in patients with diabetes type 2 and metabolic syndrome. Clin Investig Arterioscler 2014, 26(2):85-103
dc.source.bibliographicCitationFox CS, Massaro JM, Hoffmann U, Pou KM, Maurovich-Horvat P, Liu CY, Vasan RS, Murabito JM, Meigs JB, Cupples LA, D'Agostino RB Sr, O'Donnell CJ: Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation 2007, 116:39–48.
dc.source.bibliographicCitationDe Schutter A, Lavie CJ, Gonzalez J, Milani RV: Body composition in coronary heart disease: how does body mass index correlate with body fatness? Ochsner J 2011, 11(3):220-225.
dc.source.bibliographicCitationGonzález-Ruíz, K., Correa-Bautista, J.E., Ramírez-Vélez, R: Body adiposity and its relationship of metabolic syndrome components in Colombian adults. Nutr Hosp 2015, 32:1468-1475
dc.source.bibliographicCitationBolanowski M, Nilsson BE: Assessment of human body composition using dualenergy x-ray absorptiometry and bioelectrical impedance analysis. Med Sci Monit 2001, 7:1029–1033
dc.source.bibliographicCitationJeong DLS, Min H, Kim Y, Choi S, Kim Y: Measuring performance evaluation of body fat measuring instrument applying body measuring value method. Korean J Health Promot Dis Prev 2006, 6:79–87
dc.source.bibliographicCitationXu L, Cheng X, Wang J, Cao Q, Sato T, Wang M, Zhao X, Liang W: Comparisons of body-composition prediction accuracy: a study of 2 bioelectric impedance consumer devices in healthy Chinese persons using DXA and MRI as criteria methods. J Clin Densitom 2011, 14:458–464.
dc.source.bibliographicCitationNuman Ahmad M, Halim Haddad F: Suitability of visceral adiposity index as a marker for cardiometabolic risks in Jordanian adults. Nutr Hosp 2015, 32(6):2701- 2709
dc.source.bibliographicCitationMacias N, Quezada AD, Flores M, Valencia ME, Denova-Gutiérrez E, QuiterioTrenado M, Gallegos-Carrillo K, Barquera S, Salmerón J: Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults. BMC Public Health 2014, 14:341. doi: 10.1186/1471-2458-14-341.
dc.source.bibliographicCitationAmato MC, Giordano C, Pitrone M, Galluzzo A: Cut-off points of the visceral adiposity index (VAI) identifying a visceral adipose dysfunction associated with cardiometabolic risk in a Caucasian Sicilian population. Lipids Health Dis 2011, 10:183. doi: 10.1186/1476-511X-10-183.
dc.source.bibliographicCitationAmato MC, Giordano C: Visceral adiposity index: an indicator of adipose tissue dysfunction. Int J Endocrinol 2014, 2014:730827. doi: 10.1155/2014/730827.
dc.source.bibliographicCitationKnowles KM, Paiva LL, Sanchez SE, Revilla L, Lopez T, Yasuda MB, Yanez ND, Gelaye B, Williams MA: Waist circumference, body mass index, and other measures of adiposity in predicting cardiovascular disease risk factors among Peruvian adults. Int J Hyperten 2011, 1-10. doi:10.4061/2011/931402.
dc.source.bibliographicCitationTechatraisak K, Wongmeerit K, Dangrat C, Wongwananuruk T, Indhavivadhana S: Measures of body adiposity and visceral adiposity index as predictors of metabolic syndrome among Thai women with PCOS. Gynecol Endocrinol 2016, 32(4):276-280.
dc.source.bibliographicCitationLi L, Wang C, Bao Y, Peng L, Gu H, Jia W: Optimal body fat percentage cut-offs for obesity in Chinese adults. Clin Exp Pharmacol Physiol 2012, 39(4):393-398
dc.source.bibliographicCitationLiu P, Ma F, Lou H, Liu Y: The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome. BMC Public Health 2013, 13:629. doi: 10.1186/1471-2458-13-629.
dc.source.bibliographicCitationAmato MC, Giordano C, Galia M, Criscimanna A, Vitabile S, Midiri M, Galluzzo A; AlkaMeSy Study Group: Visceral Adiposity Index A reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care 2010, 33(4):920-922.
dc.source.bibliographicCitationWorld Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation on obesity, 3–5 June 1997, WHO/ NUT/NCD/98.1 1997. WHO: Geneva, 1997
dc.source.bibliographicCitationIda M, Hirata M, Odori S, Mori E, Kondo E, Fujikura J, Kusakabe T, Ebihara K, Hosoda K, Nakao K: Early changes of abdominal adiposity detected with weekly dual bioelectrical impedance analysis during calorie restriction. Obesity (Silver Spring) 2013, 21(9):E350-E353.
dc.source.bibliographicCitationYamakage H, Ito R, Tochiya M, Muranaka K, Tanaka M, Matsuo Y, Odori S, Kono S, Shimatsu A, Satoh-Asahara N: The utility of dual bioelectrical impedance analysis in detecting intra-abdominal fat area in obese patients during weight reduction therapy in comparison with waist circumference and abdominal CT. Endocr J 2014, 61(8):807-819.
dc.source.bibliographicCitationAlberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WPT, Loria CM, Smith SC: Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009, 120:1640– 1645.
dc.source.bibliographicCitationRamírez-Vélez R, Agredo RA: The Fantastic instrument's validity and reliability for measuring Colombian adults' life-style. Rev Salud Publica (Bogota) 2012, 14(2):226-237.
dc.source.bibliographicCitationRamírez-Vélez R, Triana-Reina HR, Carrillo HA, Ramos-Sepúlveda JA, Rubio F, Poches-Franco L, Rincón-Párraga D, Meneses-Echávez JF, Correa-Bautista JE: A crosssectional study of Colombian University students’ self-perceived lifestyle. SpringerPlus 2015, 4(1):1.
dc.source.bibliographicCitationHe YN, Zhao WH, Zhao LY, Yu DM, Zhang J, Yang XG, Ding GG: Prevalence of metabolic syndrome in Chinese adults in 2010-2012. Zhonghua Liu Xing Bing Xue Za Zhi 2017, 38(2):212-215.
dc.source.bibliographicCitationRuiz ÁJ, Aschner PJ, Puerta MF, Cristancho RA: IDEA study (International Day for the Evaluation of Abdominal Obesity): primary care study of the prevalence of abdominal obesity and associated risk factors in Colombia. Biomedica 2012, 32(4):610-616.
dc.source.bibliographicCitationFonseca-Camacho DF, Hernández-Fonseca JM, González-Ruíz K, TordecillaSanders A, Ramírez-Vélez R: A better self-perception of physical fitness is associated with lower prevalence of metabolic syndrome and its components among university students. Nutr Hosp 2014, 31(3):1254-1263.
dc.source.bibliographicCitationLi CI, Kardia SL, Liu CS, Lin WY, Lin CH, Lee YD, Sung FC, Li TC, Lin CC: Metabolic syndrome is associated with change in subclinical arterial stiffness: a community-based Taichung community health study. BMC Publ Health 2011, 11:808.
dc.source.bibliographicCitationAslam M, Eckhauser AW, Dorminy CA, Dossett CM, Choi L, Buchowski MS: Assessing body fat changes during moderate weight loss with anthropometry and bioelectrical impedance. Obes Res Clin Pract 2009, 3:209–219.
dc.source.bibliographicCitationKim H, Gallagher D, Song M. Comparison of body composition methods during weight loss in obese women using herbal formula. Am J Chin Med 2005, 33:851–858.
dc.source.bibliographicCitationBanegas JR, Villar F, Graciani A, Rodríguez-Artalejo F. Cardiovascular Disease Epidemiology in Spain. Rev Esp Cardiol 2006, 6:3G-12G.
dc.source.bibliographicCitationSánchez-Arias AG, Bobadilla-Serrano ME, Dimas-Altamirano B, Gómez-Ortega M, González-González G: Heart diseases: the leading cause of morbidity in a third-level hospital. Rev Mex Cardiol 2016; 27(S3):S98-S102.
dc.source.bibliographicCitationRuano Nieto CI, Melo Pérez JD, Mogrovejo Freire L, De Paula Morales KR, Espinoza Romero CV: Prevalence of metabolic syndrome and associated risk factors in ecuadorian university students. Nutr Hosp 2015, 31(4):1574-1581.
dc.source.bibliographicCitationMartínez MA, Leiva AM, Sotomayor C, Victoriano T, Von Chrismar AM, Pineda S: Factores de riesgo cardiovascular en estudiantes de la Universidad Austral de Chile. Revista Médica de Chile 2012, 140(4):426-435
dc.source.bibliographicCitationGotthelf SJ: Prevalencia de síndrome Metabólico según definición de la International Diabetes Federation (IDF) en adolescentes escolarizados de la provincia de Salta, Argentina. Rev Fed Arg Cardiol 2013, 42(2):119-126.
dc.source.bibliographicCitationSchuster J, Vogel P, Eckhardt C, Morelo SDB: Applicability of the visceral adiposity index (VAI) in predicting components of metabolic syndrome in young adults. Nutr Hosp 2014, 30(4):806-812.
dc.source.bibliographicCitationMohammadreza B, Farzad H, Davoud K, Fereidoun AF: Prognostic significance of the complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study. Cardiovasc Diabetol 2012, 11:20. doi: 10.1186/1475- 2840-11-20.
dc.source.bibliographicCitationMousa U, Kut A, Bozkus Y, Cicek Demir C, Anil C, Bascil Tutuncu N: Performance of abdominal bioelectrical impedance analysis and comparison with other known parameters in predicting the metabolic syndrome. Exp Clin Endocrinol Diabetes 2013, 121(7):391-396.
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subjectObesityspa
dc.subjectAdiposityspa
dc.subjectDyslipidemiaspa
dc.subjectMetabolic syndromespa
dc.subject.ddcFisiología humana
dc.subject.decsObesidadspa
dc.subject.decsAdiposidadspa
dc.subject.decsDislipidemiasspa
dc.subject.decsSíndrome Metabólicospa
dc.titleCutoff Values of the Body Fat Mass and Visceral Adiposity for the Prediction of Metabolic Syndrome in a sample of Colombian University Studentsspa
dc.title.TranslatedTitleRunning head: Adiposity and Metabolic Syndrome in Colombian University Studentseng
dc.typemasterThesiseng
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTesis de maestríaspa
Archivos
Bloque original
Mostrando1 - 1 de 1
Cargando...
Miniatura
Nombre:
Trabajo de Grado_Lorena Romero2 (1).pdf
Tamaño:
541.82 KB
Formato:
Adobe Portable Document Format
Descripción: