ArticleEndocrine2020
Τriglycerides-glucose (TyG) index is a sensitive marker of insulin resistance in Greek children and adolescents.
Article in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.
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Who cites it
53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Pooled it
- Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis.Cardiovascular diabetology · 2024Pooled it
- Pooled it
- Triglyceride-glucose index as a cardiovascular risk marker: updated evidence, limitations, and future perspectives.Lipids in health and disease · 2026Review
- The Limited Diagnostic Utility of Metabolic and Inflammatory Indices in Adolescent Polycystic Ovary Syndrome: A Case-Control Study.Biomedicines · 2026Article
- The Prognostic Role of C-Reactive Protein-Triglyceride Glucose Index in Predicting Unfavorable Outcomes in Acute Ischemic Stroke: A Large-Scale Cohort Study.Brain and behavior · 2026Article
- Combined Effects of Mediterranean Diet Adherence and Physical Activity on Metabolic Homeostasis and Beta-Cell Function in Male Adolescents.Nutrients · 2026Observational
- Article
- The prognostic value of triglyceride glucose-waist height ratio index in patients with heart failure after acute myocardial infarction: a retrospective study.Frontiers in cardiovascular medicine · 2026Article
- Insulin resistance in obese children and adolescents: from mechanisms to screening and exercise intervention.Frontiers in pediatrics · 2026Review
- Article
- Analysis of the prevalence of dyslipidemia in early-onset schizophrenia patients and its correlation with clinical characteristics.Frontiers in psychiatry · 2026Article
- The Correlation Between Triglyceride-Glucose Index (TyG Index) With the Severity of Acute New-Onset Heart Failure (NOHF) Complications in Acute Myocardial Infarction Based on Killip Classification.Cardiology research and practice · 2026Article
- Relationship Between Insulin Resistance Indicators and Type 2 Diabetes Mellitus in Romania.International journal of molecular sciences · 2025Article
- Article
- Prediction Model for Insulin Resistance and Implications for MASLD in Youth: A Novel Marker, the Pediatric Insulin Resistance Assessment Score.Yonsei medical journal · 2025Article
- Comparison of triglyceride glucose index and other insulin resistance indexes in children with overweight and obesity.BMC endocrine disorders · 2025Article
- Predictive value of triglyceride glucose index in non-obese non-alcoholic fatty liver disease.BMJ open · 2025Observational
- Article
- Lipid metabolism in overweight/obese children vs. normal weight children in a north-eastern region of Spain.Advances in laboratory medicine · 2025Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the association between Triglyceride-glucose (TyG) index and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and Matsuda indices in Greek obese children and adolescents, in order to assess whether it could be used as a predictor of insulin resistance.
methods367 children (47.7% boys) with mean age of 9.9 ± 2.3 years, who were investigated for obesity, were included. After overnight fasting, TyG and HOMA-IR indices were calculated in all participants. In a subpopulation of 72 children Matsuda index was also calculated.
results48.8% and 36.1% of the participants had insulin resistance according to HOMA-IR and Matsuda index respectively. TyG was significantly and positively correlated with BMI, ΗΟΜΑ-IR, lipid profile and Matsuda index. ROC curve analysis for TyG showed that the optimal cutoff value for the prediction of insulin resistance (HOMA-IR) was 7.96 with sensitivity 65% and specificity 58%. The area under the curve (AUC) was 0.65 which significantly differs from 0.5 (p < 0.001). Similarly, the optimal cutoff value of TyG index for predicting insulin resistance as evidenced by Matsuda was 7.91 with sensitivity 85% and specificity 61%. The AUC was 0.75 (p < 0.001). The odds for insulin resistance (with HOMA-IR) was 2.54 times greater for subjects with TyG higher than 7.96, while the odds for insulin resistance (with Matsuda) was 8.56 times greater for subjects with TyG more than 7.91.
conclusionsTyG index shows a positive correlation with insulin resistance among children and adolescents, however further studies are needed to clarify its predictive ability.
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