Diagnosing Insulin Resistance in the General Population
Top Cited Papers
- 1 March 2001
- journal article
- Published by American Diabetes Association in Diabetes Care
- Vol. 24 (3) , 460-464
- https://doi.org/10.2337/diacare.24.3.460
Abstract
OBJECTIVE—Difficulties in measuring insulin sensitivity prevent the identification of insulin-resistant individuals in the general population. Therefore, we compared fasting insulin, homeostasis model assessment (HOMA), insulin-to-glucose ratio, Bennett index, and a score based on weighted combinations of fasting insulin, BMI, and fasting triglycerides with the euglycemic insulin clamp to determine the most appropriate method for assessing insulin resistance in the general population. RESEARCH DESIGN AND METHODS—Family history of diabetes, BMI, blood pressure, waist and hip circumference, fasting lipids, glucose, insulin, liver enzymes, and insulin sensitivity index (ISI) using the euglycemic insulin clamp were obtained for 178 normoglycemic individuals aged 25–68 years. Product-moment correlations were used to examine the association between ISI and various surrogate measurements of insulin sensitivity. Regression models were used to devise weights for each variable and to identify cutoff points for individual components of the score. A bootstrap procedure was used to identify the most useful predictors of ISI. RESULTS—Correlation coefficients between ISI and fasting insulin, HOMA, insulin-to-glucose ratio, and the Bennett index were similar in magnitude. The variables that best predicted insulin sensitivity were fasting insulin and fasting triglycerides. The use of a score based on \batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \[Mffm{/}I{\,}{\,}{=}{\,}{\,}exp{[}2.63{\,}{\,}{-}{\,}{\,}0.28ln(insulin){\,}{\,}{-}{\,}{\,}0.31ln(TAG){]}\] \end{document}rather than the use of fasting insulin alone resulted in a higher sensitivity and a maintained specificity when predicting insulin sensitivity. CONCLUSIONS—A weighted combination of two routine laboratory measurements, i.e., fasting insulin and triglycerides, provides a simple means of screening for insulin resistance in the general population.
Keywords
This publication has 18 references indexed in Scilit:
- What do we mean by validating a prognostic model?Statistics in Medicine, 2000
- Ability of Alternative Indices of Insulin Sensitivity to Predict Cardiovascular RiskAnnals of Epidemiology, 1998
- The Relation of Proinsulin, Insulin, and Proinsulin-to-Insulin Ratio to Insulin Sensitivity and Acute Insulin Response in Normoglycemic SubjectsDiabetes, 1997
- Insulin resistance and hypersecretion in obesity. European Group for the Study of Insulin Resistance (EGIR).Journal of Clinical Investigation, 1997
- MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORSStatistics in Medicine, 1996
- Prediction Models for Insulin ResistanceBlood Pressure, 1996
- A comparison between enalapril and captopril on insulin sensitivity in normotensive healthy volunteersAustralian and New Zealand Journal of Medicine, 1993
- Insulin Resistance: A Multifaceted Syndrome Responsible for NIDDM, Obesity, Hypertension, Dyslipidemia, and Atherosclerotic Cardiovascular DiseaseDiabetes Care, 1991
- Bootstrap investigation of the stability of a cox regression modelStatistics in Medicine, 1989
- Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in manDiabetologia, 1985