Abstract
Aims: Insulin resistance is an independent risk factor for developing type 2 diabetes. Therefore, this study compared the predictability of the triglyceride–glucose (TyG) index and the homeostatic model assessment of insulin resistance (HOMA-IR) for the prevalence and incidence of type 2 diabetes. Methods: We analyzed data from 9730 adults aged 40–69 years at baseline and 7783 participants without diabetes who were followed up in the Korean Genome and Epidemiology Study survey. From 2001 to 2002 (baseline survey) to 2013–2014, this survey was conducted biennially (six follow-ups). The average follow-up period was 9.0 years. Results: The TyG index showed better predictability for the prevalence of type 2 diabetes than HOMA-IR (TyG index: 0.784, HOMA-IR: 0.728, p < 0.001). The area under the time-dependent receiver operating characteristic curve of the TyG index for incident type 2 diabetes was 0.640 (0.628–0.652), which was significantly higher than that of HOMA-IR [0.531 (0.521–0.541)] (p < 0.001). Conclusions: The TyG index is superior to HOMA-IR for predicting type 2 diabetes. The TyG index could, therefore, be more useful for the early detection and prevention of type 2 diabetes.
Original language | English |
---|---|
Article number | 109042 |
Journal | Diabetes Research and Clinical Practice |
Volume | 180 |
DOIs | |
Publication status | Published - 2021 Oct |
Bibliographical note
Funding Information:Data in this study were from the Korean Genome and Epidemiology Study (KoGES; 4851-302), National Research Institute of Health, Centers for Disease Control and Prevention, Ministry for Health and Welfare, Republic of Korea. All authors read and approved the final version of the manuscript. All authors read the journal's authorship agreement. Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. All authors (Hye Min Park, Hye Sun Lee, Yong-Jae Lee, and Jun-Hyuk Lee) certify that they have participated sufficiently in the work to take public responsibility for the content, including participation in the concept, design, analysis, or writing of the manuscript.
Publisher Copyright:
© 2021 Elsevier B.V.
All Science Journal Classification (ASJC) codes
- Internal Medicine
- Endocrinology, Diabetes and Metabolism
- Endocrinology