Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals

Detalhes bibliográficos
Autor(a) principal: Keila Bacelar Duarte de Morais
Data de Publicação: 2018
Outros Autores: Karina Oliveira Martinho, Fernanda Silva Franco, Milene Cristine Pessoa, Andréia Queiroz Ribeiro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/63987
Resumo: Objective:To evaluate the predictive ability of adiposity indicators as MetS predictors in elderly individuals.Methods:Cross-sectional study enrolled in the Estratégia Saúde da Família (Family Health Strategy). Anthropometric measurements were measured. Body Mass Index, Waist-Hip Ratio, Waist-Height Ratio, Conicity Index and Body Adiposity Index were calculated. Blood was collected and resting blood pressure was measured. MetS was classified according to the harmonizing criteria. The predictive ability of anthropometric variables was evaluated using Receiver Operating Characteristic curves. Results:Regarding male individuals, our research indicates that the BMI, Waist-Height Ratio and Waist Hip Ratio are better predictors and they are equivalent to each other. As for female individuals, results show that the Body Mass Index and Waist-Height Ratio are better predictors and equivalent to each other. Conclusion: Waist-Height Ratio and Body Mass Index are good MetS predictors for elderly individuals, especially among men. More research in this area is important. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (Viçosa University Ethics Committee in Research with Human Beings) (nº 039/2011).
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spelling 2024-02-15T18:30:33Z2024-02-15T18:30:33Z201831219920910.1590/1678-9865201800020000616789865http://hdl.handle.net/1843/63987Objective:To evaluate the predictive ability of adiposity indicators as MetS predictors in elderly individuals.Methods:Cross-sectional study enrolled in the Estratégia Saúde da Família (Family Health Strategy). Anthropometric measurements were measured. Body Mass Index, Waist-Hip Ratio, Waist-Height Ratio, Conicity Index and Body Adiposity Index were calculated. Blood was collected and resting blood pressure was measured. MetS was classified according to the harmonizing criteria. The predictive ability of anthropometric variables was evaluated using Receiver Operating Characteristic curves. Results:Regarding male individuals, our research indicates that the BMI, Waist-Height Ratio and Waist Hip Ratio are better predictors and they are equivalent to each other. As for female individuals, results show that the Body Mass Index and Waist-Height Ratio are better predictors and equivalent to each other. Conclusion: Waist-Height Ratio and Body Mass Index are good MetS predictors for elderly individuals, especially among men. More research in this area is important. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (Viçosa University Ethics Committee in Research with Human Beings) (nº 039/2011).Este estudo objetivou avaliar a capacidade preditiva dos indicadores de adiposidade como preditores da Síndrome Metabólica em idosos. Métodos:Trata-se de estudo transversal com idosos inscritos na Estratégia Saúde da Família. Foram aferidas medidas antropométricas e calculados o Índice de Massa Corporal, a Relação Cintura-Quadril, a Relação Cintura-Estatura, o Índice de Conicidade e o Índice de Adiposidade Corporal. Foi coletada amostra sanguínea e aferida a pressão arterial de repouso. A Síndrome Metabólica foi classificada de acordo com os Critérios Harmonizados. A capacidade preditiva das variáveis antropométricas foi avaliada por meio das curvas Receiver Operating Characteristic. Resultados:Para o sexo masculino, o Índice de Massa Corporal, a Relação Cintura-Estatura e a Relação Cintura-Quadril são melhores preditores e equivalentes entre si. Já para o sexo feminino, os dois primeiros são melhores preditores e equivalentes entre si. Conclusão:Concluiu-se que o Índice de Massa Corporal e a Relação Cintura-Estatura são bons preditores da Síndrome Metabólica em indivíduos idosos, especialmente entre homens. Mais investigações nesse âmbito se fazem importantes. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (nº 039/2011)engUniversidade Federal de Minas GeraisUFMGBrasilENF - DEPARTAMENTO DE NUTRIÇÃORevista de NutriçãoEnvelhecimentoIdososSíndrome MetabólicaObesidadeEnvelhecimentoPontos de CorteIdososSíndrome MetabólicaObesidadePredictive capacity of indicators of adiposity in the metabolic syndrome in elderly individualsCapacidade preditiva de indicadores de adiposidade sobre a síndrome metabólica em idososinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://doi.org/10.1590/1678-98652018000200006Keila Bacelar Duarte de MoraisKarina Oliveira MartinhoFernanda Silva FrancoMilene Cristine PessoaAndréia Queiroz Ribeiroapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/63987/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALPredictive capacity of indicators of pdfa.pdfPredictive capacity of indicators of pdfa.pdfapplication/pdf135285https://repositorio.ufmg.br/bitstream/1843/63987/2/Predictive%20capacity%20of%20indicators%20of%20pdfa.pdfc6f3aadfbca2a21c4412845ac66bcbc1MD521843/639872024-02-15 15:42:22.508oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2024-02-15T18:42:22Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
dc.title.alternative.pt_BR.fl_str_mv Capacidade preditiva de indicadores de adiposidade sobre a síndrome metabólica em idosos
title Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
spellingShingle Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
Keila Bacelar Duarte de Morais
Envelhecimento
Pontos de Corte
Idosos
Síndrome Metabólica
Obesidade
Envelhecimento
Idosos
Síndrome Metabólica
Obesidade
title_short Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
title_full Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
title_fullStr Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
title_full_unstemmed Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
title_sort Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals
author Keila Bacelar Duarte de Morais
author_facet Keila Bacelar Duarte de Morais
Karina Oliveira Martinho
Fernanda Silva Franco
Milene Cristine Pessoa
Andréia Queiroz Ribeiro
author_role author
author2 Karina Oliveira Martinho
Fernanda Silva Franco
Milene Cristine Pessoa
Andréia Queiroz Ribeiro
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Keila Bacelar Duarte de Morais
Karina Oliveira Martinho
Fernanda Silva Franco
Milene Cristine Pessoa
Andréia Queiroz Ribeiro
dc.subject.por.fl_str_mv Envelhecimento
Pontos de Corte
Idosos
Síndrome Metabólica
Obesidade
topic Envelhecimento
Pontos de Corte
Idosos
Síndrome Metabólica
Obesidade
Envelhecimento
Idosos
Síndrome Metabólica
Obesidade
dc.subject.other.pt_BR.fl_str_mv Envelhecimento
Idosos
Síndrome Metabólica
Obesidade
description Objective:To evaluate the predictive ability of adiposity indicators as MetS predictors in elderly individuals.Methods:Cross-sectional study enrolled in the Estratégia Saúde da Família (Family Health Strategy). Anthropometric measurements were measured. Body Mass Index, Waist-Hip Ratio, Waist-Height Ratio, Conicity Index and Body Adiposity Index were calculated. Blood was collected and resting blood pressure was measured. MetS was classified according to the harmonizing criteria. The predictive ability of anthropometric variables was evaluated using Receiver Operating Characteristic curves. Results:Regarding male individuals, our research indicates that the BMI, Waist-Height Ratio and Waist Hip Ratio are better predictors and they are equivalent to each other. As for female individuals, results show that the Body Mass Index and Waist-Height Ratio are better predictors and equivalent to each other. Conclusion: Waist-Height Ratio and Body Mass Index are good MetS predictors for elderly individuals, especially among men. More research in this area is important. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (Viçosa University Ethics Committee in Research with Human Beings) (nº 039/2011).
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2024-02-15T18:30:33Z
dc.date.available.fl_str_mv 2024-02-15T18:30:33Z
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://hdl.handle.net/1843/63987
dc.identifier.doi.pt_BR.fl_str_mv 10.1590/1678-98652018000200006
dc.identifier.issn.pt_BR.fl_str_mv 16789865
identifier_str_mv 10.1590/1678-98652018000200006
16789865
url http://hdl.handle.net/1843/63987
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Revista de Nutrição
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv ENF - DEPARTAMENTO DE NUTRIÇÃO
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
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