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Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university students

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dc.creatorRamírez-Vélez, Robinson
dc.creatorCorrea Bautista, Jorge Enrique
dc.creatorTordecilla Sanders, María Alejandraspa
dc.creatorOjeda-Pardo, Mónica Lilianaspa
dc.creatorCobo-Mejía, Elisa Andreaspa
dc.creatorCastellanos-Vega, Rocío Del Pilarspa
dc.creatorGarcía-Hermoso, Antoniospa
dc.creatorGonzález-Jiménez, Emiliospa
dc.creatorSchmidt-RioValle, Jacquelinespa
dc.creatorGonzález-Ruíz, Katherinespa
dc.date.accessioned2020-05-25T23:57:34Z
dc.date.available2020-05-25T23:57:34Z
dc.date.created2017spa
dc.description.abstractHigh 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 and lt; 0.001). BF% and FMI were positively correlated to MetS components (p and lt; 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. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.3390/nu9091009
dc.identifier.issn20726643
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22697
dc.language.isoengspa
dc.publisherMDPI AGspa
dc.relation.citationIssueNo. 9
dc.relation.citationTitleNutrients
dc.relation.citationVolumeVol. 9
dc.relation.ispartofNutrients, ISSN:20726643, Vol.9, No.9 (2017)spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85029455872&doi=10.3390%2fnu9091009&partnerID=40&md5=ad61ad483c8e6e3df77aa2b178352cfaspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordHigh density lipoprotein cholesterolspa
dc.subject.keywordLow density lipoprotein cholesterolspa
dc.subject.keywordCholesterolspa
dc.subject.keywordTriacylglycerolspa
dc.subject.keywordAbdominal obesityspa
dc.subject.keywordAdultspa
dc.subject.keywordAlcohol consumptionspa
dc.subject.keywordArm circumferencespa
dc.subject.keywordArticlespa
dc.subject.keywordBlood samplingspa
dc.subject.keywordBody fatspa
dc.subject.keywordBody massspa
dc.subject.keywordCholesterol blood levelspa
dc.subject.keywordColombiaspa
dc.subject.keywordColorimetryspa
dc.subject.keywordCross-sectional studyspa
dc.subject.keywordDiastolic blood pressurespa
dc.subject.keywordFat massspa
dc.subject.keywordFemalespa
dc.subject.keywordGlucose blood levelspa
dc.subject.keywordHumanspa
dc.subject.keywordHypertriglyceridemiaspa
dc.subject.keywordMajor clinical studyspa
dc.subject.keywordMalespa
dc.subject.keywordMean arterial pressurespa
dc.subject.keywordMetabolic syndrome xspa
dc.subject.keywordPrevalencespa
dc.subject.keywordRisk factorspa
dc.subject.keywordSystolic blood pressurespa
dc.subject.keywordTriacylglycerol blood levelspa
dc.subject.keywordUniversity studentspa
dc.subject.keywordWaist circumferencespa
dc.subject.keywordAdolescentspa
dc.subject.keywordBloodspa
dc.subject.keywordBlood pressurespa
dc.subject.keywordBody compositionspa
dc.subject.keywordBody massspa
dc.subject.keywordLifestylespa
dc.subject.keywordMetabolic syndrome xspa
dc.subject.keywordObesityspa
dc.subject.keywordQuestionnairespa
dc.subject.keywordStudentspa
dc.subject.keywordYoung adultspa
dc.subject.keywordAdiposityspa
dc.subject.keywordAdolescentspa
dc.subject.keywordBlood pressurespa
dc.subject.keywordBody compositionspa
dc.subject.keywordBody mass indexspa
dc.subject.keywordCholesterolspa
dc.subject.keywordCross-sectional studiesspa
dc.subject.keywordFemalespa
dc.subject.keywordHumansspa
dc.subject.keywordLife stylespa
dc.subject.keywordMalespa
dc.subject.keywordMetabolic syndromespa
dc.subject.keywordPrevalencespa
dc.subject.keywordRisk factorsspa
dc.subject.keywordStudentsspa
dc.subject.keywordSurveys and questionnairesspa
dc.subject.keywordTriglyceridesspa
dc.subject.keywordWaist circumferencespa
dc.subject.keywordYoung adultspa
dc.subject.keywordAdiposityspa
dc.subject.keywordFat massspa
dc.subject.keywordMetabolic syndromespa
dc.subject.keywordObesityspa
dc.titlePercentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian university studentsspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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