Correlation of anthropometric indicators for identifying insulin sensitivity and resistance

Bibliographic Details
Main Author: Matos, Lívia Nascimento
Publication Date: 2011
Other Authors: Giorelli, Guilherme de Vieira, Dias, Cristiane Bitencourt
Format: Article
Language: eng
Source: São Paulo medical journal (Online)
Download full: https://periodicosapm.emnuvens.com.br/spmj/article/view/1555
Summary: CONTEXT AND OBJECTIVES: Early detection of reduced insulin sensitivity (IS) and insulin resistance (IR) is desirable. The aim here was to evaluate correlations of anthropometric indicators for identifying IR or IS and determine the cutoff points of the most effective indicators. DESIGN AND SETTING: Cross-sectional study in the city of São Paulo. METHODS: Sixty-one individuals with normal fasting plasma glucose (NFPG) and 43 overweight women were analyzed. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio, waist-to-height ratio (WHtR), conicity index and the HOMA-IS and HOMA-IR indices were determined. The correlations between the anthropometric indices and IS and IR were determined. ROC analysis was used to determine the areas under the curve (AUC) and cutoff points. RESULTS: Among the NFPG individuals, BMI (r = -0.50; P = 0.002) and WHtR (r = -0.45; P = 0.007) showed correlations with HOMA-IS (homeostasis model assessment of insulin sensitivity). The ROC curve demonstrated statistical significance for BMI (AUC = 0.769; P = 0.005), WHtR (AUC = 0.764; P = 0.01) and WC (AUC = 0.702; P = 0.04), and the best cutoff points were 33.3 kg/m2 , 0.67 and 100 cm, respectively. Among the overweight women, the best correlation with HOMA-IR was demonstrated by WHtR (r = 0.37; P = 0.01), and the best cutoff point was 0.70 (AUC = 0.61; P = 0.25). CONCLUSION: The most promising indicators for showing IS among the NFPG individuals were BMI, WHtR and WC. Among the overweight women, WHtR demonstrated greater correlation with IR.
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spelling Correlation of anthropometric indicators for identifying insulin sensitivity and resistanceCorrelação dos indicadores antropométricos em identificar a sensibilidade e resistência insulínicasResistência à insulinaEstado pré-diabéticoHiperglicemiaÍndice de massa corporalCircunferência da cinturaAntropometriaInsulin resistancePrediabetic stateHyperglycemiaBody mass indexWaist circumferenceAnthropometryCONTEXT AND OBJECTIVES: Early detection of reduced insulin sensitivity (IS) and insulin resistance (IR) is desirable. The aim here was to evaluate correlations of anthropometric indicators for identifying IR or IS and determine the cutoff points of the most effective indicators. DESIGN AND SETTING: Cross-sectional study in the city of São Paulo. METHODS: Sixty-one individuals with normal fasting plasma glucose (NFPG) and 43 overweight women were analyzed. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio, waist-to-height ratio (WHtR), conicity index and the HOMA-IS and HOMA-IR indices were determined. The correlations between the anthropometric indices and IS and IR were determined. ROC analysis was used to determine the areas under the curve (AUC) and cutoff points. RESULTS: Among the NFPG individuals, BMI (r = -0.50; P = 0.002) and WHtR (r = -0.45; P = 0.007) showed correlations with HOMA-IS (homeostasis model assessment of insulin sensitivity). The ROC curve demonstrated statistical significance for BMI (AUC = 0.769; P = 0.005), WHtR (AUC = 0.764; P = 0.01) and WC (AUC = 0.702; P = 0.04), and the best cutoff points were 33.3 kg/m2 , 0.67 and 100 cm, respectively. Among the overweight women, the best correlation with HOMA-IR was demonstrated by WHtR (r = 0.37; P = 0.01), and the best cutoff point was 0.70 (AUC = 0.61; P = 0.25). CONCLUSION: The most promising indicators for showing IS among the NFPG individuals were BMI, WHtR and WC. Among the overweight women, WHtR demonstrated greater correlation with IR.CONTEXTO E OBJETIVOS: A detecção precoce da redução na sensibilidade à insulina (SI) e resistência insulínica (RI) é desejável. O objetivo foi avaliar a correlação dos indicadores antropométricos em identificar a SI e RI, determinando os pontos de corte dos mais eficazes. TIPO DE ESTUDO E LOCAL: Estudo transversal na cidade de São Paulo. MÉTODOS: Analisou-se 61 indivíduos com glicemia de jejum normal (GJN) e 43 mulheres com sobrepeso. Determinou-se: índice de massa corporal (IMC), circunferência abdominal (CA), relação cintura quadril, relação cintura estatura (RCE), índice de conicidade e os índices HOMA-IS e HOMA-IR. As correlações entre os indicadores antropométricos e SI e RI foram determinadas. Análise ROC foi empregada com determinação das áreas abaixo da curva (AUC) e pontos de corte. RESULTADOS: No grupo de indivíduos com GJN, demonstraram correlação com o HOMA-IS (homeostasis model assessment of insulin sensitivity), o IMC (r = -0,50; P = 0,002) e RCE (= -0,45; P = 0,007). A curva ROC demonstrou significância estatística para IMC (AUC = 0,769; P = 0,005), RCE (AUC = 0,764; P = 0,01) e CA (AUC = 0,702; P = 0,04); os melhores pontos de corte foram 33,3 kg/m2 , 0,67 e 100 cm, respectivamente. Entre mulheres com sobrepeso, as melhores correlações com o HOMA-IR foram demonstradas pela RCE (r = 0,37; P = 0,01), e o melhor ponto de corte foi 0,70 (AUC = 0,61; P = 0,25). CONCLUSÃO: Os indicadores mais promissores para indicar SI em indivíduos com GJN foram IMC, RCE e CA. Entre mulheres com sobrepeso, RCE demonstrou maior correlação com a RI.São Paulo Medical JournalSão Paulo Medical Journal2011-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicosapm.emnuvens.com.br/spmj/article/view/1555São Paulo Medical Journal; Vol. 129 No. 1 (2011); 30-35São Paulo Medical Journal; v. 129 n. 1 (2011); 30-351806-9460reponame:São Paulo medical journal (Online)instname:Associação Paulista de Medicinainstacron:APMenghttps://periodicosapm.emnuvens.com.br/spmj/article/view/1555/1453https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMatos, Lívia NascimentoGiorelli, Guilherme de VieiraDias, Cristiane Bitencourt2023-09-08T19:36:29Zoai:ojs.diagnosticoetratamento.emnuvens.com.br:article/1555Revistahttp://www.scielo.br/spmjPUBhttps://old.scielo.br/oai/scielo-oai.phprevistas@apm.org.br1806-94601516-3180opendoar:2023-09-08T19:36:29São Paulo medical journal (Online) - Associação Paulista de Medicinafalse
dc.title.none.fl_str_mv Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
Correlação dos indicadores antropométricos em identificar a sensibilidade e resistência insulínicas
title Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
spellingShingle Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
Matos, Lívia Nascimento
Resistência à insulina
Estado pré-diabético
Hiperglicemia
Índice de massa corporal
Circunferência da cintura
Antropometria
Insulin resistance
Prediabetic state
Hyperglycemia
Body mass index
Waist circumference
Anthropometry
title_short Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
title_full Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
title_fullStr Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
title_full_unstemmed Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
title_sort Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
author Matos, Lívia Nascimento
author_facet Matos, Lívia Nascimento
Giorelli, Guilherme de Vieira
Dias, Cristiane Bitencourt
author_role author
author2 Giorelli, Guilherme de Vieira
Dias, Cristiane Bitencourt
author2_role author
author
dc.contributor.author.fl_str_mv Matos, Lívia Nascimento
Giorelli, Guilherme de Vieira
Dias, Cristiane Bitencourt
dc.subject.por.fl_str_mv Resistência à insulina
Estado pré-diabético
Hiperglicemia
Índice de massa corporal
Circunferência da cintura
Antropometria
Insulin resistance
Prediabetic state
Hyperglycemia
Body mass index
Waist circumference
Anthropometry
topic Resistência à insulina
Estado pré-diabético
Hiperglicemia
Índice de massa corporal
Circunferência da cintura
Antropometria
Insulin resistance
Prediabetic state
Hyperglycemia
Body mass index
Waist circumference
Anthropometry
description CONTEXT AND OBJECTIVES: Early detection of reduced insulin sensitivity (IS) and insulin resistance (IR) is desirable. The aim here was to evaluate correlations of anthropometric indicators for identifying IR or IS and determine the cutoff points of the most effective indicators. DESIGN AND SETTING: Cross-sectional study in the city of São Paulo. METHODS: Sixty-one individuals with normal fasting plasma glucose (NFPG) and 43 overweight women were analyzed. Body mass index (BMI), waist circumference (WC), waist-to-hip ratio, waist-to-height ratio (WHtR), conicity index and the HOMA-IS and HOMA-IR indices were determined. The correlations between the anthropometric indices and IS and IR were determined. ROC analysis was used to determine the areas under the curve (AUC) and cutoff points. RESULTS: Among the NFPG individuals, BMI (r = -0.50; P = 0.002) and WHtR (r = -0.45; P = 0.007) showed correlations with HOMA-IS (homeostasis model assessment of insulin sensitivity). The ROC curve demonstrated statistical significance for BMI (AUC = 0.769; P = 0.005), WHtR (AUC = 0.764; P = 0.01) and WC (AUC = 0.702; P = 0.04), and the best cutoff points were 33.3 kg/m2 , 0.67 and 100 cm, respectively. Among the overweight women, the best correlation with HOMA-IR was demonstrated by WHtR (r = 0.37; P = 0.01), and the best cutoff point was 0.70 (AUC = 0.61; P = 0.25). CONCLUSION: The most promising indicators for showing IS among the NFPG individuals were BMI, WHtR and WC. Among the overweight women, WHtR demonstrated greater correlation with IR.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicosapm.emnuvens.com.br/spmj/article/view/1555
url https://periodicosapm.emnuvens.com.br/spmj/article/view/1555
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicosapm.emnuvens.com.br/spmj/article/view/1555/1453
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv São Paulo Medical Journal
São Paulo Medical Journal
publisher.none.fl_str_mv São Paulo Medical Journal
São Paulo Medical Journal
dc.source.none.fl_str_mv São Paulo Medical Journal; Vol. 129 No. 1 (2011); 30-35
São Paulo Medical Journal; v. 129 n. 1 (2011); 30-35
1806-9460
reponame:São Paulo medical journal (Online)
instname:Associação Paulista de Medicina
instacron:APM
instname_str Associação Paulista de Medicina
instacron_str APM
institution APM
reponame_str São Paulo medical journal (Online)
collection São Paulo medical journal (Online)
repository.name.fl_str_mv São Paulo medical journal (Online) - Associação Paulista de Medicina
repository.mail.fl_str_mv revistas@apm.org.br
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