Development of a Metabolic Syndrome Prediction Model Using HOMA-IR and Multivariate Factors

Development of a Metabolic Syndrome Prediction Model Using HOMA-IR and Multivariate Factors

We aimed to develop a multiple logistic regression model for predicting the occurrence of metabolic syndrome (MetS) using homeostasis model assessment of insulin resistance (HOMA-IR) levels, gender, age, and Diabetes Mellitus (DM) status, and to evaluate its predictive accuracy. Data from 6134 parti...

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Bibliographic Details
Main Authors: An-Sik Heo, Jung-Chul Lee
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
metabolic syndrome
Diabetes Mellitus
HOMA-IR
multiple logistic regression
ROC analysis
Online Access:https://www.mdpi.com/2076-3417/15/6/2985
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