[HTML][HTML] A nomogram model for predicting 5-year risk of prediabetes in Chinese adults

Y Hu, Y Han, Y Liu, Y Cui, Z Ni, L Wei, C Cao, H Hu… - Scientific Reports, 2023 - nature.com
Early identification is crucial to effectively intervene in individuals at high risk of developing
pre-diabetes. This study aimed to create a personalized nomogram to determine the 5-year …

[HTML][HTML] Optimal threshold of homeostasis model assessment of insulin resistance to identify metabolic syndrome in a Chinese population aged 45 years or younger

SY Lin, WC Li, TA Yang, YC Chen, W Yu… - Frontiers in …, 2022 - frontiersin.org
Background Metabolic syndrome (MetS) is regarded as a major risk factor for diabetes
mellitus and cardiovascular disease (CVD). The optimal threshold of the homeostasis model …

Performance of four risk scores for predicting insulin resistance in Thai adults

W Srisung, A Saprungruang… - International Journal of …, 2012 - Springer
This study aims to evaluate the performances of four scoring systems, previously designed
for screening type 2 diabetes, in predicting insulin resistance in healthy Thai adults. A cross …

Evaluation of nonlinear regression approaches to estimation of insulin sensitivity by the minimal model with reference to Bayesian hierarchical analysis

IF Godsland, OF Agbaje… - American Journal of …, 2006 - journals.physiology.org
Minimal model analysis of intravenous glucose tolerance test (IVGTT) glucose and insulin
concentrations offers a validated approach to measuring insulin sensitivity, but model …

Anthropometric and Biochemical Correlations of Insulin Resistance in a Middle‐Aged Maltese Caucasian Population

R Agius, NP Pace, S Fava - Journal of Nutrition and Metabolism, 2024 - Wiley Online Library
Background. Insulin resistance (IR) is associated with increased cardiovascular disease risk,
and with increased all‐cause, cardiovascular, and cancer mortality. A number of surrogate …

Do static and dynamic insulin resistance indices perform similarly in predicting pre-diabetes and type 2 diabetes?

R Liu, KK Christoffel, WJ Brickman, X Liu… - Diabetes research and …, 2014 - Elsevier
Aims We designed a study to compare the predictive power of static and dynamic insulin
resistance indices for categorized pre-diabetes (PDM)/type 2 diabetes (DM). Methods …

Predicting Insulin Resistance in a Pediatric Population With Obesity

D Araújo, C Morgado, J Correia-Pinto… - Journal of Pediatric …, 2023 - journals.lww.com
Objectives: Insulin resistance (IR) affects children and adolescents with obesity and early
diagnosis is crucial to prevent long-term consequences. Our aim was to identify predictors of …

[HTML][HTML] Insulin resistance: regression and clustering

S Yoon, TL Assimes, T Quertermous, CF Hsiao… - Plos one, 2014 - journals.plos.org
In this paper we try to define insulin resistance (IR) precisely for a group of Chinese women.
Our definition deliberately does not depend upon body mass index (BMI) or age, although in …

[HTML][HTML] Methods for estimating insulin resistance from untargeted metabolomics data

FC Hsu, ND Palmer, SH Chen, MCY Ng, MO Goodarzi… - Metabolomics, 2023 - Springer
Context Insulin resistance is associated with multiple complex diseases; however, precise
measures of insulin resistance are invasive, expensive, and time-consuming. Objective …

[HTML][HTML] Relation of insulin resistance with social-demographics, adiposity and behavioral factors in non-diabetic adult Canadians

SY Pan, M de Groh, A Aziz, H Morrison - Journal of Diabetes & Metabolic …, 2015 - Springer
Background Insulin resistance is a pathogenic factor for type II diabetes and has been
associated with metabolic abnormalities and adverse clinical outcomes. The purpose of this …