A panel of 6 biomarkers significantly improves the prediction of type 2 diabetes in the MONICA/KORA study population

B Thorand, A Zierer, M Büyüközkan… - The Journal of …, 2021 - academic.oup.com
Context Improved strategies to identify persons at high risk of type 2 diabetes are important
to target costly preventive efforts to those who will benefit most. Objective This work aimed to …

[HTML][HTML] Optimal homeostasis model assessment of insulin resistance (HOMA-IR) cut-offs: A cross-sectional study in the Czech population

D Horáková, L Štěpánek, V Janout, J Janoutová… - Medicina, 2019 - mdpi.com
Background and Objectives: The key pathogenetic mechanism of glucose metabolism
disorders, insulin resistance (IR), can be assessed using the Homeostasis Model …

Differences in the associations of anthropometric measures with insulin resistance and type 2 diabetes mellitus between Korean and US populations: comparisons of …

YS Yoon, HS Choi, JK Kim, YI Kim, SW Oh - Obesity Research & Clinical …, 2016 - Elsevier
Backgrounds Variation among ethnic groups in the association between obesity and insulin
resistance (IR)/diabetes has been suggested, but studies reported inconsistent results. We …

Toward rational diagnostic criteria for the insulin resistance syndrome

B WOJCIECHOWSKI, SM WILLI, JB BERG… - Diabetes, 1999 - go.gale.com
The Insulin Resistance (IR) Syndrome represents a cluster of metabolic traits that increase
risk for Type 2 Diabetes and Cardiovascular Disease. IR is a sine qua non for pathogenesis …

Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population

C Yamada, T Mitsuhashi, N Hiratsuka… - Journal of diabetes …, 2011 - Wiley Online Library
The aim of the present study was to establish a reference interval for homeostasis model
assessment of insulin resistance (HOMA‐IR) in a Japanese population based on the C28 …

Association between normal triglyceride and insulin resistance in US adults without other risk factors: a cross-sectional study from the US National Health and Nutrition …

C Bi, L Wang, C Sun, M Sun, P Zheng, Z Xue, L Shen… - Bmj Open, 2019 - bmjopen.bmj.com
Objective Traditionally, the absence of insulin resistance risk factors (IRRFs) was considered
a low risk for insulin resistance (IR). However, IR also existed in certain individuals without …

Lipoprotein insulin resistance Index: a simple, accurate method for assessing insulin resistance in south asians

A Fosam, R Bansal, A Ramanathan… - Journal of the …, 2023 - academic.oup.com
Context Identification of insulin resistance (IR) in South Asians, who are at a higher risk for
type 2 diabetes, is important. Lack of standardization of insulin assays limits the clinical use …

Identifying prediabetes using fasting insulin levels

JL Johnson, DS Duick, MA Chui, SA Aldasouqi - Endocrine Practice, 2010 - Elsevier
Objective To determine whether patients with prediabetes can be accurately and easily
identified in clinical settings using a predictive clinical and laboratory model. Methods This …

Utilization of anthropometric parameters as a novel tool for detection of insulin resistance

YP Chao, TW Kao, YW Chang, TC Peng, WL Chen… - Clinical Nutrition, 2020 - Elsevier
Background Anthropometric parameters have been widely applied in evaluating muscle
mass, insulin resistance (IR), and cardiometabolic diseases. Arm circumference (AC) and …

[PDF][PDF] Identification of Anthropometric Indices That Best Correlate With Insulin Sensitivity and Insulin Resistance from Subjects from Central Mexico

LM Porchia, MA Gonzalez-Mejia, ET Rasgado… - J Diabetes …, 2014 - academia.edu
Abstract Background: Insulin Sensitivity (IS) and Insulin Resistance (IR) mark the
development of Type 2 Diabetes. Many reports have demonstrated that anthropometric …