Correlation of anthropometric indicators for identifying insulin sensitivity and resistance
Main Author: | |
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Publication Date: | 2011 |
Other Authors: | , |
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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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 |
_version_ |
1825135065328254976 |