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Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth
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 an...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066260/ https://www.ncbi.nlm.nih.gov/pubmed/33800541 http://dx.doi.org/10.3390/life11040286 |
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author | Song, Kyungchul Park, Goeun Lee, Hye Sun Choi, Youngha Oh, Jun Suk Choi, Han Saem Suh, Junghwan Kwon, Ahreum Kim, Ho-Seong Chae, Hyun Wook |
author_facet | Song, Kyungchul Park, Goeun Lee, Hye Sun Choi, Youngha Oh, Jun Suk Choi, Han Saem Suh, Junghwan Kwon, Ahreum Kim, Ho-Seong Chae, Hyun Wook |
author_sort | Song, Kyungchul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8066260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80662602021-04-25 Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth Song, Kyungchul Park, Goeun Lee, Hye Sun Choi, Youngha Oh, Jun Suk Choi, Han Saem Suh, Junghwan Kwon, Ahreum Kim, Ho-Seong Chae, Hyun Wook Life (Basel) Article 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. MDPI 2021-03-28 /pmc/articles/PMC8066260/ /pubmed/33800541 http://dx.doi.org/10.3390/life11040286 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Song, Kyungchul Park, Goeun Lee, Hye Sun Choi, Youngha Oh, Jun Suk Choi, Han Saem Suh, Junghwan Kwon, Ahreum Kim, Ho-Seong Chae, Hyun Wook Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth |
title | Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth |
title_full | Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth |
title_fullStr | Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth |
title_full_unstemmed | Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth |
title_short | Prediction of Insulin Resistance by Modified Triglyceride Glucose Indices in Youth |
title_sort | prediction of insulin resistance by modified triglyceride glucose indices in youth |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066260/ https://www.ncbi.nlm.nih.gov/pubmed/33800541 http://dx.doi.org/10.3390/life11040286 |
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