A calculated index using fasting triglycerides and blood sugar that estimates insulin resistance without requiring an insulin test.
Your TyG index (triglyceride-glucose index) offers a practical way to estimate insulin resistance using two blood tests you may already have: fasting triglycerides and fasting glucose. Unlike HOMA-IR, which requires an insulin measurement that many standard panels do not include, the TyG index can be calculated from a routine lipid and metabolic panel. This makes it one of the most accessible markers of insulin resistance available.
The score reflects a core feature of metabolic dysfunction. When your cells resist insulin's signal, two things tend to happen in parallel: blood sugar drifts upward and the liver produces more triglycerides (a type of fat particle in your blood). The TyG index captures both of these shifts in a single number. A higher score means your body is showing the metabolic fingerprint of insulin resistance, even if no single lab value has crossed a diagnostic threshold on its own.
The formula takes the natural logarithm of the product of your fasting triglycerides (in mg/dL) and fasting glucose (in mg/dL) divided by 2. Written out: ln[triglycerides × glucose / 2]. The logarithmic transformation compresses the wide range of possible triglyceride and glucose values into a more manageable scale, typically yielding scores between roughly 7 and 10.
When tested against the gold standard for measuring insulin resistance (a specialized research procedure called the euglycemic-hyperinsulinemic clamp), the TyG index showed a strong correlation. It also demonstrated high sensitivity (96.5%) and good specificity (85.0%) for detecting insulin resistance at a cutoff of 4.68. In practical terms, the TyG index reliably flags insulin resistance when it is present.
TyG index cutoffs vary by population, sex, and the clinical outcome being predicted. Sex-specific thresholds have been proposed, so your interpretation should account for this. The following table summarizes the most commonly reported thresholds and what each one signals.
| TyG Index Threshold | What It Signals | Source Population |
|---|---|---|
| Around 8.0 | Lower boundary for elevated metabolic risk; proposed as a prediabetes/diabetes threshold in men | Cross-sectional study of U.S. adults |
| 8.31 to 8.46 | Increased risk of cardiovascular disease and future diabetes | European and Asian cohorts |
| 8.41 | Elevated diabetes risk even in people with normal fasting glucose | General population retrospective study |
| 8.53 (women) / 8.75 (men) | Sex-specific thresholds for discriminating prediabetes and diabetes | German population-based study |
| 8.75 | Threshold for metabolic syndrome, with 71.9% sensitivity and 80.5% specificity | U.S. national survey data (NHANES) |
| 9.00 | Proposed prediabetes/diabetes threshold in women | Cross-sectional study of U.S. adults |
What this means for you: if your TyG index falls below about 8.0, your metabolic picture is generally reassuring. Between 8.0 and 8.5, early insulin resistance may be developing and lifestyle optimization becomes especially valuable. Above 8.5 to 8.75, you are in a range associated with metabolic syndrome and meaningful cardiovascular risk, and a proactive response is warranted.
The TyG index and HOMA-IR both estimate insulin resistance, but they do so from different angles and do not always agree. In head-to-head comparisons, the two show only a weak-to-moderate correlation with each other and poor concordance, meaning a person flagged as insulin resistant by one measure may not be flagged by the other.
This apparent disagreement likely reflects the fact that they capture different facets of metabolic dysfunction. The TyG index appears more closely tied to body composition and blood sugar abnormalities, while HOMA-IR correlates more with lipid abnormalities. Neither is a perfect substitute for the other. If you have access to both, they offer complementary information.
In several direct comparisons, the TyG index outperformed HOMA-IR for predicting specific outcomes. For metabolic syndrome, TyG showed stronger discrimination than HOMA-IR in a large U.S. national survey analysis. For predicting future diabetes in a Korean population, TyG also significantly outperformed HOMA-IR. The TyG index is particularly useful for identifying at-risk individuals whose fasting glucose is still in the normal range, a group that standard screening often misses.
Because the TyG index is built from fasting triglycerides and fasting glucose, any intervention that lowers one or both of these values will improve your score. The most effective strategies target the underlying insulin resistance that drives both numbers upward.
Weight loss reduces both fasting triglycerides and glucose, producing direct improvements in the TyG index. Losing visceral (belly) fat is particularly impactful, since this fat depot is the primary driver of the excess triglyceride production and glucose dysregulation that the index captures.
Dietary changes that reduce refined carbohydrates and added sugars tend to lower both glucose and triglycerides simultaneously. The Mediterranean diet, emphasizing olive oil, nuts, vegetables, whole grains, and fish, has consistently demonstrated improvements in triglyceride levels and glycemic control. Eliminating sugar-sweetened beverages is one of the simplest high-impact changes.
Regular physical activity of at least 150 minutes per week of moderate intensity lowers triglycerides, improves glucose handling, and reduces visceral fat. These effects occur even without significant weight loss.
Medications that lower triglycerides (such as fibrates or omega-3 fatty acid preparations) or improve glucose metabolism (such as metformin, SGLT2 inhibitors, or GLP-1 receptor agonists) will lower the TyG index as a secondary effect. However, no medication is prescribed specifically to target the TyG index itself. The score is best used as a monitoring tool to track how well your overall metabolic strategy is working.