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Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study

dc.creatorRamírez-Vélez, Robinson
dc.creatorAnzola, Alejandrospa
dc.creatorMartinez-Torres, Javierspa
dc.creatorVivas, Andresspa
dc.creatorTordecilla Sanders, María Alejandraspa
dc.creatorPrieto-Benavides, Danielspa
dc.creatorIzquierdo, Mikelspa
dc.creatorCorrea Bautista, Jorge Enrique
dc.creatorGarcia-Hermoso, Antoniospa
dc.date.accessioned2020-05-25T23:57:01Z
dc.date.available2020-05-25T23:57:01Z
dc.date.created2016spa
dc.description.abstractBackground: In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed at assessing the differences in the prevalence of MetS in children and adolescents aged 9-17 years using four different operational definitions for these age groups and at examining the associated variables. Methods: A total of 675 children and 1247 adolescents attending public schools in Bogota (54.4% girls; age range 9-17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. In addition, we further examined the associations between each definition of MetS in the total sample and individual risk factors using binary logistic regression models adjusted for gender, age, pubertal stage, weight status, and inflammation in all participants. Results: The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the definitions by IDF, Cook et al., Ford et al., and de Ferranti et al., respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were higher waist circumference and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. Conclusions: MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity. © Copyright 2016, Mary Ann Liebert, Inc..eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1089/met.2016.0058
dc.identifier.issn15404196
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22584
dc.language.isoengspa
dc.publisherMary Ann Liebert Inc.spa
dc.relation.citationEndPage462
dc.relation.citationIssueNo. 9
dc.relation.citationStartPage455
dc.relation.citationTitleMetabolic Syndrome and Related Disorders
dc.relation.citationVolumeVol. 14
dc.relation.ispartofMetabolic Syndrome and Related Disorders, ISSN:15404196, Vol.14, No.9 (2016); pp. 455-462spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84993929837&doi=10.1089%2fmet.2016.0058&partnerID=40&md5=6515be008d7708ba0f945a9eff413195spa
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.keywordC reactive proteinspa
dc.subject.keywordHDLeng
dc.subject.keywordCholesterolspa
dc.subject.keywordGlucosespa
dc.subject.keywordHigh density lipoprotein cholesterolspa
dc.subject.keywordLow density lipoprotein cholesterolspa
dc.subject.keywordTriacylglycerolspa
dc.subject.keywordC reactive proteinspa
dc.subject.keywordHigh density lipoprotein cholesterolspa
dc.subject.keywordTriacylglycerolspa
dc.subject.keywordAbdominal obesityspa
dc.subject.keywordAdolescentspa
dc.subject.keywordAgespa
dc.subject.keywordArticlespa
dc.subject.keywordBody massspa
dc.subject.keywordBody weightspa
dc.subject.keywordCardiometabolic riskspa
dc.subject.keywordChildspa
dc.subject.keywordChildhood obesityspa
dc.subject.keywordCholesterol blood levelspa
dc.subject.keywordColombiaspa
dc.subject.keywordColombianspa
dc.subject.keywordControlled studyspa
dc.subject.keywordDiagnostic test accuracy studyspa
dc.subject.keywordDiastolic blood pressurespa
dc.subject.keywordDisease associationspa
dc.subject.keywordFemalespa
dc.subject.keywordGroups by agespa
dc.subject.keywordHumanspa
dc.subject.keywordHyperglycemiaspa
dc.subject.keywordHypertensionspa
dc.subject.keywordInflammationspa
dc.subject.keywordMajor clinical studyspa
dc.subject.keywordMalespa
dc.subject.keywordMetabolic syndrome Xspa
dc.subject.keywordPopulation researchspa
dc.subject.keywordPrevalencespa
dc.subject.keywordPriority journalspa
dc.subject.keywordPubertyspa
dc.subject.keywordRisk factorspa
dc.subject.keywordSchool childspa
dc.subject.keywordSex differencespa
dc.subject.keywordSystolic blood pressurespa
dc.subject.keywordWaist circumferencespa
dc.subject.keywordBloodspa
dc.subject.keywordComorbidityspa
dc.subject.keywordGlucose blood levelspa
dc.subject.keywordMetabolic syndrome Xspa
dc.subject.keywordMetabolismspa
dc.subject.keywordObesityspa
dc.subject.keywordPathologyspa
dc.subject.keywordAdolescentspa
dc.subject.keywordBlood Glucosespa
dc.subject.keywordC-Reactive Proteinspa
dc.subject.keywordChildspa
dc.subject.keywordCholesteroleng
dc.subject.keywordColombiaspa
dc.subject.keywordComorbidityspa
dc.subject.keywordFemalespa
dc.subject.keywordHumansspa
dc.subject.keywordMalespa
dc.subject.keywordMetabolic Syndromespa
dc.subject.keywordObesityspa
dc.subject.keywordPrevalencespa
dc.subject.keywordRisk Factorsspa
dc.subject.keywordTriglyceridesspa
dc.subject.keywordWaist Circumferencespa
dc.subject.keywordCardiometabolic risk factorsspa
dc.subject.keywordHigh sensitivity C-reactive proteinspa
dc.subject.keywordMetabolic syndromespa
dc.subject.keywordOverweightspa
dc.titleMetabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Studyspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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