Biomarker

HOMA-IR

Homeostatic Model Assessment for Insulin Resistance

A calculated index from fasting glucose and insulin that estimates insulin resistance, the metabolic driver behind type 2 diabetes and a core aging-related biomarker.

Needs review Evidence: Tier 2
Evidence tierTier 2, Strong human evidence, hard endpoints or biomarkers
Categoryinsulin resistance marker
Last verified2026-08-16

HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) is a calculated index estimating insulin resistance from a single fasting blood draw. The original model, described by Matthews and colleagues in 1985, uses the product of fasting plasma insulin and fasting plasma glucose, divided by a constant; a higher value indicates greater insulin resistance. It is the most widely used surrogate of insulin resistance in epidemiological research because it requires only routine fasting labs rather than the gold-standard but laborious euglycemic-hyperinsulinemic clamp.

Why it matters for aging: insulin resistance is central to metabolic syndrome, type 2 diabetes, non-alcoholic fatty liver disease, and cardiovascular disease, and it tracks with several aging-related outcomes. Population studies use HOMA-IR to stratify cardiometabolic risk and to monitor response to diet, exercise, and weight-loss interventions; values tend to fall with improved fitness, fat loss, and reduced refined-carbohydrate intake.

Interpretation is population-dependent. There is no single universal cutoff, because insulin and glucose assay methods differ between laboratories and HOMA-IR distributions differ by ethnicity, age, and body composition. Rough working thresholds commonly cite values above roughly 2.0-2.5 as suggesting insulin resistance in many Western adult populations, but the appropriate reference range should be drawn from the specific assay and cohort. HOMA-IR is also less reliable in people with established diabetes, where beta-cell failure means the model's assumptions break down, and it does not distinguish hepatic from peripheral insulin resistance.

The model's strengths are simplicity, cost, and large accumulated evidence base; its weaknesses are assay-dependence, poorer performance in frank diabetes, and the fact that it estimates rather than directly measures insulin sensitivity. For high-stakes individual decisions, direct measures or dynamic tests (OGTT-derived indices, the clamp) remain preferable.

Plain takeaway: HOMA-IR is a cheap, well-validated estimate of insulin resistance from fasting glucose and insulin, useful for population stratification and tracking lifestyle response, but its cutoffs are assay- and population-specific and it is less reliable once diabetes is established.

Further reading

Curated external sources for a deeper dive. External links open in a new tab.