Metabolic syndrome prevalence in chilean children according to three different criteria and its agreement with insulin resistance

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dc.catalogadorpau
dc.contributor.authorBarja Y., Salesa
dc.contributor.authorArnáiz Gómez, Pilar
dc.contributor.authorDomínguez de Landa, María Angélica
dc.contributor.authorVillarroel del Pino, Luis A.
dc.contributor.authorCastillo Valenzuela, Oscar
dc.contributor.authorFarías Jofré, Marcelo Enrique
dc.contributor.authorMardones S., Francisco
dc.date.accessioned2023-07-10T20:37:49Z
dc.date.available2023-07-10T20:37:49Z
dc.date.issued2013
dc.description.abstractBackground and objectives: There is not a consensus in Metabolic Syndrome (MS) definition for children and adolescents, although its prevalence is increasing. The aim of the present study was tocompare the prevalence of MS according to three diagnostic criteria for children and adolescents and to study the agreement with insulin resistance (IR). Methods: Cross-sectional study (2009-2011) of 3325 students, 10-15 years old, from schools in Puente Alto County, Santiago, Chile. Anthropometry was performed, measuring blood pressure (BP) and in a fast blood sample: glicemia, insulin, blood lipids. We calculated HOMA-IR (Homeostasis Model Assessment index); values >90th percentile of a normal sub-sample were considered as IR. We compared three criteria of MS: International Diabetes Federation (IDF), Cook S. and De Ferranti S. They define different cut-offs for the five components of MS (waist circumference, triglycerides, HDLCholesterol, blood pressure and glicemia) having bnormal at least three of them. Results: Prevalence of MS was 3.82% for IDF, 7.25% for Cook and 20.48% for de Ferranti criterion (Cochran Q-test, p<0.001). In total 859 subjects were IR (25.8%). 73.2% and 69.7% of the children diagnosed with MS according the first two criteria had IR in but only 52.7% according to the third one (Predictive Positive Values: PPV). To predict IR, each criterion had ROC-AUC of 0.60, 0.62 and 0.67 respectively (adjusted for sex and puberty). IR predicted the presence of MS according the different criteria with PPV of 10.8%, 19.6% and 41.8% and ROC-AUC for HOMA-IR was: 0.84, 0.82 and 0.76 respectively (adjusted for sex and puberty). Conclusions: Prevalence of MS varies significantly according to different criteria. IDF and Cook´s criteria are similar predictors for IR (even the former has higher cutoffs for MS components), better than de Ferranti´s. HOMA-IR was a good predictor of the three MS criteria.
dc.fechaingreso.objetodigital2023-07-10
dc.format.extent2 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1159/000354245
dc.identifier.issn0250-6807
dc.identifier.urihttps://doi.org/10.1159/000354245
dc.identifier.urihttps://publons.com/wos-op/publon/20543706/
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/74156
dc.information.autorucEscuela de Medicina ; Barja Y., Salesa ; 0000-0001-8583-188X ; 64532
dc.information.autorucEscuela de Medicina ; Arnáiz Gómez, Pilar ; S/I ; 98982
dc.information.autorucEscuela de Medicina ; Domínguez de Landa, María Angélica ; 0000-0001-7477-7574 ; 131798
dc.information.autorucEscuela de Medicina ; Villarroel del Pino, Luis A. ; 0000-0001-9603-937X ; 77182
dc.information.autorucEscuela de Medicina ; Castillo Valenzuela, Oscar ; 0000-0002-4411-8655 ; 1000391
dc.information.autorucEscuela de Medicina ; Farías Jofré, Marcelo Enrique ; 0000-0003-0473-2295 ; 12286
dc.information.autorucEscuela de Medicina ; Mardones S., Francisco ; 0000-0002-0905-9493 ; 98805
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final606
dc.pagina.inicio605
dc.relation.ispartofInternational Congress of Nutrition (20° ; 2013 ; Granada, Spain)
dc.revistaAnnals of Nutrition and Metabolism
dc.rightsacceso restringido
dc.subjectMetabolic syndrome
dc.subjectChildren
dc.subjectInsulin resistance
dc.titleMetabolic syndrome prevalence in chilean children according to three different criteria and its agreement with insulin resistancees_ES
dc.typecomunicación de congreso
dc.volumen63
sipa.codpersvinculados64532
sipa.codpersvinculados98982
sipa.codpersvinculados131798
sipa.codpersvinculados77182
sipa.codpersvinculados1000391
sipa.codpersvinculados12286
sipa.codpersvinculados98805
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