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

Detalhes bibliográficos
Autor(a) principal: Villa,Julia Khéde Dourado
Data de Publicação: 2015
Outros Autores: Silva,Angélica Ribeiro e, Santos,Thanise Sabrina Souza, Ribeiro,Andréia Queiroz, Sant'Ana,Luciana Ferreira da Rocha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Paulista de Pediatria (Ed. Português. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187
Resumo: 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.
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spelling Metabolic syndrome risk assessment in children: use of a single scoreMetabolic syndromeScoreChildren 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. Sociedade de Pediatria de São Paulo2015-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187Revista Paulista de Pediatria v.33 n.2 2015reponame:Revista Paulista de Pediatria (Ed. Português. Online)instname:Sociedade de Pediatria de São Paulo (SPSP)instacron:SPSP10.1016/j.rpped.2014.11.001info:eu-repo/semantics/openAccessVilla,Julia Khéde DouradoSilva,Angélica Ribeiro eSantos,Thanise Sabrina SouzaRibeiro,Andréia QueirozSant'Ana,Luciana Ferreira da Rochaeng2015-08-04T00:00:00Zoai:scielo:S0103-05822015000200187Revistahttps://www.rpped.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.phppediatria@spsp.org.br||rpp@spsp.org.br1984-04620103-0582opendoar:2015-08-04T00:00Revista Paulista de Pediatria (Ed. Português. Online) - Sociedade de Pediatria de São Paulo (SPSP)false
dc.title.none.fl_str_mv Metabolic syndrome risk assessment in children: use of a single score
title Metabolic syndrome risk assessment in children: use of a single score
spellingShingle Metabolic syndrome risk assessment in children: use of a single score
Villa,Julia Khéde Dourado
Metabolic syndrome
Score
Children
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
author Villa,Julia Khéde Dourado
author_facet Villa,Julia Khéde Dourado
Silva,Angélica Ribeiro e
Santos,Thanise Sabrina Souza
Ribeiro,Andréia Queiroz
Sant'Ana,Luciana Ferreira da Rocha
author_role author
author2 Silva,Angélica Ribeiro e
Santos,Thanise Sabrina Souza
Ribeiro,Andréia Queiroz
Sant'Ana,Luciana Ferreira da Rocha
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Villa,Julia Khéde Dourado
Silva,Angélica Ribeiro e
Santos,Thanise Sabrina Souza
Ribeiro,Andréia Queiroz
Sant'Ana,Luciana Ferreira da Rocha
dc.subject.por.fl_str_mv Metabolic syndrome
Score
Children
topic Metabolic syndrome
Score
Children
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.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822015000200187
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.rpped.2014.11.001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade de Pediatria de São Paulo
publisher.none.fl_str_mv Sociedade de Pediatria de São Paulo
dc.source.none.fl_str_mv Revista Paulista de Pediatria v.33 n.2 2015
reponame:Revista Paulista de Pediatria (Ed. Português. Online)
instname:Sociedade de Pediatria de São Paulo (SPSP)
instacron:SPSP
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reponame_str Revista Paulista de Pediatria (Ed. Português. Online)
collection Revista Paulista de Pediatria (Ed. Português. Online)
repository.name.fl_str_mv Revista Paulista de Pediatria (Ed. Português. Online) - Sociedade de Pediatria de São Paulo (SPSP)
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