Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth

Hye Sun Lee, Hyun Wook Chae, Kyungchul Song, Goeun Park, Youngha Choi, Jun Suk Oh, Han Saem Choi, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim
2021-03-28

SCID:  54.1/zx56kc4g
The triglyceride glucose (TyG) index, derived from a combination of fasting glucose and triglycerides, has been suggested as a useful marker for insulin resistance (IR), in addition to modified TyG indices that combine obesity parameters. This study investigated the association and utility of TyG and modified TyG indices for IR prediction in youth. Based on the Korea National Health and Nutritional Examination Survey, the data of 3728 youth aged 10-19 years were analyzed. Odds ratios (ORs) and 95% confidence intervals (CIs) of tertiles 2 and 3 for each parameter were calculated and compared with tertile 1 as a reference. To compare the parameters for identifying IR, receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated. The ORs and 95% CIs for insulin resistance (IR) progressively increased across tertiles of each parameter. Overall, all modified TyG indices presented higher ORs and AUC than the TyG index. The TyG-body mass index standard deviation score showed the largest AUC for IR detection in all subjects. In conclusion, TyG and modified TyG indices could be used as valuable markers for the prediction of IR in youth. Moreover, modified TyG indices had better diagnostic accuracy than the TyG index.
Publication Details
Publication Date
2021-03-28
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Hye Sun Lee
Hyun Wook Chae
Kyungchul Song
Goeun Park
Youngha Choi
Jun Suk Oh
Han Saem Choi
Junghwan Suh
Ahreum Kwon
Ho-Seong Kim
Explore More Research
Use the citation graph to discover related papers and expand your research horizons.
Click any node to explore
Download PDF
100%