Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules

R Goel, A Misra, D Kondal, RM Pandey… - Clinical …, 2009 - Wiley Online Library
Objective Biochemical measures for assessment of insulin resistance are not cost‐effective
in resource‐constrained developing countries. Using classification and regression tree …

Surrogate indices of insulin resistance using the Matsuda index as reference in adult men—a computational approach

VA Malagón-Soriano, AJ Ledezma-Forero… - Frontiers in …, 2024 - frontiersin.org
Background Overweight and obesity, high blood pressure, hyperglycemia, hyperlipidemia,
and insulin resistance (IR) are strongly associated with non-communicable diseases …

Risk factors correlated with risk of insulin resistance using homeostasis model assessment in adolescents in Taiwan

SY Lin, CT Su, YC Hsieh, YL Li… - Asia Pacific Journal …, 2015 - journals.sagepub.com
The study aims to discover risk factors significantly correlated with insulin resistance among
adolescents in Taiwan. A total of 339 study subjects were recruited in this cross-sectional …

Prediction of metabolic syndrome in US Adults using homeostasis model assessment-insulin resistance

J Guess, TH Beltran, YS Choi - Metabolic Syndrome and Related …, 2023 - liebertpub.com
Background: The prevalence of obesity among US adults has risen steadily over recent
decades. Consequently, interest in identification of those at greatest metabolic risk …

Insulin resistance: Risk factors, diagnostic approaches and mathematical models for clinical practice, epidemiological studies, and beyond

J Krzymien, P Ladyzynski - Biocybernetics and Biomedical Engineering, 2024 - Elsevier
Insulin resistance (IR) is a multifactorial metabolic disorder associated with the development
of cardiometabolic syndrome, cardiovascular diseases and obesity. Factors such as …

[HTML][HTML] Comparison of surrogate markers as measures of uncomplicated insulin resistance in Korean adults

TJ Kim, HJ Kim, YB Kim, JY Lee, HS Lee… - Korean journal of …, 2016 - ncbi.nlm.nih.gov
Background Metabolic syndrome (MS) is known to increase the risk of various
cardiometabolic diseases and in-sulin resistance (IR) has known to have central role in the …

Predictive ability of anthropometric and body composition indicators in the identification of insulin resistance

ACJ Vasques, LEFPL Rosado, GP Rosado… - Arq Bras Endocrinol …, 2009 - aem-sbem.com
OBJECTIVE: To assess the ability of anthropometric and body composition indicators in
identifying insulin resistance (IR), determining cut-off points for those showing the best …

The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning

HQ Qu, Q Li, AR Rentfro, SP Fisher-Hoch… - PloS one, 2011 - journals.plos.org
Objective The lack of standardized reference range for the homeostasis model assessment-
estimated insulin resistance (HOMA-IR) index has limited its clinical application. This study …

Should insulin resistance (HOMA-IR), insulin secretion (HOMA-β), and visceral fat area be considered for improving the performance of diabetes risk prediction …

H Hu, T Nakagawa, T Honda, S Yamamoto… - BMJ Open Diabetes …, 2024 - drc.bmj.com
Introduction Insulin resistance and defects in pancreatic beta cells are the two major
pathophysiologic abnormalities that underlie type 2 diabetes. In addition, visceral fat area …

Impact of Insulin Resistance on Cardiometabolic Risk Factors and an Anthropometry-Based Predictive Nomogram for Insulin Resistance Among Adolescents in China

R Du, L Li, P Li, Y Wang - Frontiers in Endocrinology, 2022 - frontiersin.org
Objective We aimed to investigate the impact of insulin resistance (IR), as determined by the
homeostasis model assessment of insulin resistance (HOMA-IR), on cardiometabolic risk …