Discriminatory power of nutritional indicators on detection of increased glucose
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Geriatrics, Gerontology and Aging (Online) |
Texto Completo: | https://ggaging.com/details/82 |
Resumo: | <p><b>OBJECTIVE:</b> To compare the discriminatory power of anthropometric indices and body composition in the detection of increased fasting glucose in elderly women.<br> <b>METHODS:</b> This cross-sectional study was conducted with 144 elderly women of a group of seniors from a city in Minas Gerais, Brazil. Measures evaluated were body mass index (BMI), waist circumference (WC), percentage body fat (%BF) by bipolar and tetrapolar bioimpedance, and fasting blood glucose. The receiver operating curve (ROC) was constructed to analyze the discriminatory indexes power, and the area under the curve was used to define which cutoff points that best discriminated the increased glucose.<br> <b>RESULTS:</b> The areas under the ROC was 0.655 to BMI (p=0.015), 0.669 (p=0.008) to WC and 0.646 (p=0.022) for tetrapolar bioimpedance, with no statistical difference between the observed areas.<br> <b>CONCLUSION:</b> The anthropometric and body composition indexes showed discrimination power of increased glucose levels, with the exception of the bipolar bioimpedance analysis.</p> |
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Geriatrics, Gerontology and Aging (Online) |
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Discriminatory power of nutritional indicators on detection of increased glucoseBody composition Anthropometry Aged Blood glucose ROC Curve<p><b>OBJECTIVE:</b> To compare the discriminatory power of anthropometric indices and body composition in the detection of increased fasting glucose in elderly women.<br> <b>METHODS:</b> This cross-sectional study was conducted with 144 elderly women of a group of seniors from a city in Minas Gerais, Brazil. Measures evaluated were body mass index (BMI), waist circumference (WC), percentage body fat (%BF) by bipolar and tetrapolar bioimpedance, and fasting blood glucose. The receiver operating curve (ROC) was constructed to analyze the discriminatory indexes power, and the area under the curve was used to define which cutoff points that best discriminated the increased glucose.<br> <b>RESULTS:</b> The areas under the ROC was 0.655 to BMI (p=0.015), 0.669 (p=0.008) to WC and 0.646 (p=0.022) for tetrapolar bioimpedance, with no statistical difference between the observed areas.<br> <b>CONCLUSION:</b> The anthropometric and body composition indexes showed discrimination power of increased glucose levels, with the exception of the bipolar bioimpedance analysis.</p>Sociedade Brasileira de Geriatria e Gerontologia2014-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttps://ggaging.com/details/82Geriatrics, Gerontology and Aging v.8 n.4 2014reponame:Geriatrics, Gerontology and Aging (Online)instname:Sociedade Brasileira de Geriatria e Gerontologiainstacron:SBGGinfo:eu-repo/semantics/openAccess Domingos,Ana Luiza Gomes Fajardo,Virgínia Capistrano Freitas,Silvia Nascimento deeng2014-10-01T00:00:00Zoai:ggaging.com:82Revistahttp://sbgg.org.br/publicacoes-cientificas/revista-geriatria-gerontologia/ONGhttps://old.scielo.br/oai/scielo-oai.phpexecutiveditors@ggaging.com||nacional@sbgg.org.br2447-21232447-2115opendoar:2014-10-01T00:00Geriatrics, Gerontology and Aging (Online) - Sociedade Brasileira de Geriatria e Gerontologiafalse |
dc.title.none.fl_str_mv |
Discriminatory power of nutritional indicators on detection of increased glucose |
title |
Discriminatory power of nutritional indicators on detection of increased glucose |
spellingShingle |
Discriminatory power of nutritional indicators on detection of increased glucose Domingos,Ana Luiza Gomes Body composition Anthropometry Aged Blood glucose ROC Curve |
title_short |
Discriminatory power of nutritional indicators on detection of increased glucose |
title_full |
Discriminatory power of nutritional indicators on detection of increased glucose |
title_fullStr |
Discriminatory power of nutritional indicators on detection of increased glucose |
title_full_unstemmed |
Discriminatory power of nutritional indicators on detection of increased glucose |
title_sort |
Discriminatory power of nutritional indicators on detection of increased glucose |
author |
Domingos,Ana Luiza Gomes |
author_facet |
Domingos,Ana Luiza Gomes Fajardo,Virgínia Capistrano Freitas,Silvia Nascimento de |
author_role |
author |
author2 |
Fajardo,Virgínia Capistrano Freitas,Silvia Nascimento de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Domingos,Ana Luiza Gomes Fajardo,Virgínia Capistrano Freitas,Silvia Nascimento de |
dc.subject.por.fl_str_mv |
Body composition Anthropometry Aged Blood glucose ROC Curve |
topic |
Body composition Anthropometry Aged Blood glucose ROC Curve |
description |
<p><b>OBJECTIVE:</b> To compare the discriminatory power of anthropometric indices and body composition in the detection of increased fasting glucose in elderly women.<br> <b>METHODS:</b> This cross-sectional study was conducted with 144 elderly women of a group of seniors from a city in Minas Gerais, Brazil. Measures evaluated were body mass index (BMI), waist circumference (WC), percentage body fat (%BF) by bipolar and tetrapolar bioimpedance, and fasting blood glucose. The receiver operating curve (ROC) was constructed to analyze the discriminatory indexes power, and the area under the curve was used to define which cutoff points that best discriminated the increased glucose.<br> <b>RESULTS:</b> The areas under the ROC was 0.655 to BMI (p=0.015), 0.669 (p=0.008) to WC and 0.646 (p=0.022) for tetrapolar bioimpedance, with no statistical difference between the observed areas.<br> <b>CONCLUSION:</b> The anthropometric and body composition indexes showed discrimination power of increased glucose levels, with the exception of the bipolar bioimpedance analysis.</p> |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ggaging.com/details/82 |
url |
https://ggaging.com/details/82 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Geriatria e Gerontologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Geriatria e Gerontologia |
dc.source.none.fl_str_mv |
Geriatrics, Gerontology and Aging v.8 n.4 2014 reponame:Geriatrics, Gerontology and Aging (Online) instname:Sociedade Brasileira de Geriatria e Gerontologia instacron:SBGG |
instname_str |
Sociedade Brasileira de Geriatria e Gerontologia |
instacron_str |
SBGG |
institution |
SBGG |
reponame_str |
Geriatrics, Gerontology and Aging (Online) |
collection |
Geriatrics, Gerontology and Aging (Online) |
repository.name.fl_str_mv |
Geriatrics, Gerontology and Aging (Online) - Sociedade Brasileira de Geriatria e Gerontologia |
repository.mail.fl_str_mv |
executiveditors@ggaging.com||nacional@sbgg.org.br |
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1797174500809244672 |