Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://www.repositorio.ufba.br/ri/handle/ri/5504 |
Resumo: | 121-125 p. |
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Ferreira, Aparecido PimentelFerreira, Cristiane BatistiBrito, Ciro JoséPitanga, Francisco José GondimMoraes, Clayton FrancoNaves, Luciana AnsaneliNóbrega, Otávio de ToledoFrança, Nancí Maria deFerreira, Aparecido PimentelFerreira, Cristiane BatistiBrito, Ciro JoséPitanga, Francisco José GondimMoraes, Clayton FrancoNaves, Luciana AnsaneliNóbrega, Otávio de ToledoFrança, Nancí Maria de2012-03-05T17:40:55Z2012-03-05T17:40:55Z20111678-4170http://www.repositorio.ufba.br/ri/handle/ri/550496(2)121-125 p.Background: Because of the need to measure anthropometric, biochemical and hemodynamic variables for the diagnosis of metabolic syndrome, we realize how difficult it is to analyze large populations, especially children, due to the poor accessibility and the invasive character. There is an urgent need to develop easy-to-use, accurate and low-cost diagnostic tools in order to predict metabolic syndrome at early ages. Objective: To verify the prevalence of metabolic syndrome in children and to test predictive anthropometric indicators. Methods: Cross-sectional study conducted among 109 children aged 7 to 11 years. The age-adjusted National Cholesterol Education Program definition was used for the diagnosis of metabolic syndrome. The following parameters were tested as possible predictors: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), conicity index (Cindex), and body fat percentage. Results: The prevalence of metabolic syndrome was 13.3% and 36% for boys and girls, respectively. The main anthropometric indicators were: BMI = 0.81 (0.69 – 0.94), WC = 0.79 (0.64 – 0.94), body fat = 0.79 (0.66 – 0.92) and WHR = 0.37 (0.21 – 0.54). Conclusion: WC higher than 78 cm, body fat higher than 41%, and BMI higher than 24.5 kg/m² were considered predictors of metabolic syndrome. The C index and WHR were not considered predictors.Submitted by Ana Valéria de Jesus Moura (anavaleria_131@hotmail.com) on 2012-03-05T17:40:55Z No. of bitstreams: 1 Prediction of Metabolic Syndrome in Children through.pdf: 210694 bytes, checksum: 63689674b7506af6214e985fdbdc5f0d (MD5)Made available in DSpace on 2012-03-05T17:40:55Z (GMT). No. of bitstreams: 1 Prediction of Metabolic Syndrome in Children through.pdf: 210694 bytes, checksum: 63689674b7506af6214e985fdbdc5f0d (MD5) Previous issue date: 2011Metabolic syndromechildpredictionoverweightobesityPrediction of Metabolic Syndrome in Children through Anthropometric IndicatorsArquivos Brasileiros de Cardiologiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAinfo:eu-repo/semantics/openAccessORIGINALPrediction of Metabolic Syndrome in Children through.pdfPrediction of Metabolic Syndrome in Children through.pdfapplication/pdf210694https://repositorio.ufba.br/bitstream/ri/5504/1/Prediction%20of%20Metabolic%20Syndrome%20in%20Children%20through.pdf63689674b7506af6214e985fdbdc5f0dMD51LICENSElicense.txtlicense.txttext/plain1762https://repositorio.ufba.br/bitstream/ri/5504/2/license.txt1b89a9a0548218172d7c829f87a0eab9MD52TEXTPrediction of Metabolic Syndrome in Children through.pdf.txtPrediction of Metabolic Syndrome in Children through.pdf.txtExtracted texttext/plain22931https://repositorio.ufba.br/bitstream/ri/5504/3/Prediction%20of%20Metabolic%20Syndrome%20in%20Children%20through.pdf.txt9e112d0d65e99cdee93565d6ac2e17f4MD53ri/55042022-08-08 13:17:58.318oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-08T16:17:58Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
dc.title.alternative.pt_BR.fl_str_mv |
Arquivos Brasileiros de Cardiologia |
title |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
spellingShingle |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators Ferreira, Aparecido Pimentel Metabolic syndrome child prediction overweight obesity |
title_short |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
title_full |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
title_fullStr |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
title_full_unstemmed |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
title_sort |
Prediction of Metabolic Syndrome in Children through Anthropometric Indicators |
author |
Ferreira, Aparecido Pimentel |
author_facet |
Ferreira, Aparecido Pimentel Ferreira, Cristiane Batisti Brito, Ciro José Pitanga, Francisco José Gondim Moraes, Clayton Franco Naves, Luciana Ansaneli Nóbrega, Otávio de Toledo França, Nancí Maria de |
author_role |
author |
author2 |
Ferreira, Cristiane Batisti Brito, Ciro José Pitanga, Francisco José Gondim Moraes, Clayton Franco Naves, Luciana Ansaneli Nóbrega, Otávio de Toledo França, Nancí Maria de |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Aparecido Pimentel Ferreira, Cristiane Batisti Brito, Ciro José Pitanga, Francisco José Gondim Moraes, Clayton Franco Naves, Luciana Ansaneli Nóbrega, Otávio de Toledo França, Nancí Maria de Ferreira, Aparecido Pimentel Ferreira, Cristiane Batisti Brito, Ciro José Pitanga, Francisco José Gondim Moraes, Clayton Franco Naves, Luciana Ansaneli Nóbrega, Otávio de Toledo França, Nancí Maria de |
dc.subject.por.fl_str_mv |
Metabolic syndrome child prediction overweight obesity |
topic |
Metabolic syndrome child prediction overweight obesity |
description |
121-125 p. |
publishDate |
2011 |
dc.date.issued.fl_str_mv |
2011 |
dc.date.accessioned.fl_str_mv |
2012-03-05T17:40:55Z |
dc.date.available.fl_str_mv |
2012-03-05T17:40:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufba.br/ri/handle/ri/5504 |
dc.identifier.issn.none.fl_str_mv |
1678-4170 |
dc.identifier.number.pt_BR.fl_str_mv |
96(2) |
identifier_str_mv |
1678-4170 96(2) |
url |
http://www.repositorio.ufba.br/ri/handle/ri/5504 |
dc.language.iso.fl_str_mv |
eng |
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eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal da Bahia (UFBA) |
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UFBA |
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UFBA |
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