Correlation of anthropometric indicators for identifying insulin sensitivity and resistance

Abstract

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. RESUMO 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. 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.

Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study

“…27,29 However, studies on men of different ethnicity indicated that BMI was the best predictor for IR. 28,30,31 It should be noted that BMI is characterized as an indicator of general adiposity because of its inability to assess the distribution of body fat, thus presenting a weaker relationship with visceral fat.…”

“…28,30,31 It should be noted that BMI is characterized as an indicator of general adiposity because of its inability to assess the distribution of body fat, thus presenting a weaker relationship with visceral fat. 27 In a recent meta-analysis, Savva et al 32 The risk of developing obesity-related comorbidities is proportional to the degree of obesity and, more specifically, the accumulation of visceral fat. 33 However, the presence of metabolic disorders varies considerably among obese individuals, 34 since it is known that there is one subgroup of obese individuals that seems to be protected against or is more resistant to developing cardiometabolic complications.…”

New surrogate anthropometrical markers for early detection of insulin resistance

“…In a study that focused on Brazilians from Sao Paulo, which examined body mass index, waist circumference, and waist height ratio, it was found that Waist height ratio was an acceptable method to determine insulin senstivity; however, their results were based on a gender-mixed sample [40]. The Manios et al have also reported a stronger association of Waist height ratio and waist circumference with insulin resistance compared to waist hip ratio, among Greek populations [34,35].…”

Hyperinsulinemia and Insulin Resistance: Scope of the Problem

“…Increased abdominal circumference and a large waist-to-height ratio are indirect indicators of IR. 38 Moving beyond BMI and anthropometric measurements, even across the entire spectrum of body weight, chronically elevated insulin is associated with -and may be a primary driver of -the dominant health scourges of our time: CVD, cancer and AD. These pathologies may be present even in the absence of chronic hyperglycaemia, although the combination of IR with hyperglycaemia greatly compounds the effects.…”