Metabolic syndrome risk assessment in children: use of a single score

OBJECTIVE: To calculate a score of metabolic syndrome (MetS) in children and set a cutoff point of this score for the prediction of MetS risk. METHODS: The study included a random sample of 348 children aged 8 and 9 years of Viçosa, Southeast Brazil. Factor analysis by principal components (PCA) was...

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Main Authors: Julia Khéde Dourado Villa, Angélica Ribeiro e Silva, Thanise Sabrina Souza Santos, Andréia Queiroz Ribeiro, Luciana Ferreira da Rocha Sant'Ana
Format: Article
Language:English
Published: Sociedade de Pediatria de São Paulo 2015-06-01
Series:Revista Paulista de Pediatria
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187&lng=en&tlng=en
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spelling doaj-a4a10977d0df4454b16150498a3920c72020-11-24T20:46:47ZengSociedade de Pediatria de São PauloRevista Paulista de Pediatria1984-04622015-06-0133218719310.1016/j.rpped.2014.11.001S0103-05822015000200187Metabolic syndrome risk assessment in children: use of a single scoreJulia Khéde Dourado VillaAngélica Ribeiro e SilvaThanise Sabrina Souza SantosAndréia Queiroz RibeiroLuciana Ferreira da Rocha Sant'AnaOBJECTIVE: To calculate a score of metabolic syndrome (MetS) in children and set a cutoff point of this score for the prediction of MetS risk. METHODS: The study included a random sample of 348 children aged 8 and 9 years of Viçosa, Southeast Brazil. Factor analysis by principal components (PCA) was used to determine, among various risk factors, those with higher degrees of intercorrelation. The chosen variables were: waist circumference (PC), homeostatic model assessment of insulin resistance (HOMA), high density lipoprotein (HDL), triglycerides (TAG) and mean arterial pressure (MAP). Z-scores were created for each one of these parameters and the sum of these z-scores constituted the MetS score. The receiver operating characteristic (ROC) curve was used to identify the cutoff of MetS score, using as gold standard the presence or absence of MetS determined according to criteria age-modified. RESULTS: The prevalence of MetS in the sample was 8.9% by adopting specific criteria for age, and 24% when considering the cutoff of MetS score. The selected cutoff point of 1.86 was accurate to predict the MetS risk in this sample due to its high sensitivity (96.7%), specificity (82.7%) and AUC of 0.96. CONCLUSIONS: This original Brazilian study presents the MetS score as a suitable alternative for the study of Metabolic Syndrome in children, given the lack of consensus for the definition of this syndrome in childhood.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187&lng=en&tlng=enSíndrome metabólicaEscoreCrianças
collection DOAJ
language English
format Article
sources DOAJ
author Julia Khéde Dourado Villa
Angélica Ribeiro e Silva
Thanise Sabrina Souza Santos
Andréia Queiroz Ribeiro
Luciana Ferreira da Rocha Sant'Ana
spellingShingle Julia Khéde Dourado Villa
Angélica Ribeiro e Silva
Thanise Sabrina Souza Santos
Andréia Queiroz Ribeiro
Luciana Ferreira da Rocha Sant'Ana
Metabolic syndrome risk assessment in children: use of a single score
Revista Paulista de Pediatria
Síndrome metabólica
Escore
Crianças
author_facet Julia Khéde Dourado Villa
Angélica Ribeiro e Silva
Thanise Sabrina Souza Santos
Andréia Queiroz Ribeiro
Luciana Ferreira da Rocha Sant'Ana
author_sort Julia Khéde Dourado Villa
title Metabolic syndrome risk assessment in children: use of a single score
title_short Metabolic syndrome risk assessment in children: use of a single score
title_full Metabolic syndrome risk assessment in children: use of a single score
title_fullStr Metabolic syndrome risk assessment in children: use of a single score
title_full_unstemmed Metabolic syndrome risk assessment in children: use of a single score
title_sort metabolic syndrome risk assessment in children: use of a single score
publisher Sociedade de Pediatria de São Paulo
series Revista Paulista de Pediatria
issn 1984-0462
publishDate 2015-06-01
description OBJECTIVE: To calculate a score of metabolic syndrome (MetS) in children and set a cutoff point of this score for the prediction of MetS risk. METHODS: The study included a random sample of 348 children aged 8 and 9 years of Viçosa, Southeast Brazil. Factor analysis by principal components (PCA) was used to determine, among various risk factors, those with higher degrees of intercorrelation. The chosen variables were: waist circumference (PC), homeostatic model assessment of insulin resistance (HOMA), high density lipoprotein (HDL), triglycerides (TAG) and mean arterial pressure (MAP). Z-scores were created for each one of these parameters and the sum of these z-scores constituted the MetS score. The receiver operating characteristic (ROC) curve was used to identify the cutoff of MetS score, using as gold standard the presence or absence of MetS determined according to criteria age-modified. RESULTS: The prevalence of MetS in the sample was 8.9% by adopting specific criteria for age, and 24% when considering the cutoff of MetS score. The selected cutoff point of 1.86 was accurate to predict the MetS risk in this sample due to its high sensitivity (96.7%), specificity (82.7%) and AUC of 0.96. CONCLUSIONS: This original Brazilian study presents the MetS score as a suitable alternative for the study of Metabolic Syndrome in children, given the lack of consensus for the definition of this syndrome in childhood.
topic Síndrome metabólica
Escore
Crianças
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187&lng=en&tlng=en
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