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HOMA-IR: what your value tells you about insulin resistance

In a random sample of 2,459 Spanish adults, the cut-off for HOMA-IR was 2.05. That was the case when the researchers looked at features that together raise the metabolic and cardiovascular risk.[1]

On this page you can read what HOMA-IR is, what the guidelines say about a value that is too low or too high, what affects your value and which values are best to look at alongside it.

Also called: HOMA index, homeostasis model assessment of insulin resistance. At the lab: not applicable.

In short

What is HOMA-IR?

Your fasting glucose and insulin keep each other in balance through a feedback loop. HOMA compares your fasting values with a computer model of that feedback loop.[2]

This is how the model estimates how much insulin resistance and how much reduced beta cell function play a part in a raised fasting blood sugar. HOMA-IR is the part that covers insulin resistance.[2]

The estimate matched a more extensive measurement method, the euglycaemic clamp, well (Rs = 0.88).[2]

Why HOMA-IR matters

Insulin resistance is linked to changes in metabolism and circulation. It is also linked to a higher cardiometabolic risk.[1]

The researchers think it makes more sense to choose a cut-off based on that risk than on a percentile of the population. That way, HOMA-IR is better at helping to recognise people in whom several risk factors together raise the metabolic and cardiovascular risk.[1]

At the same time, the estimate is not precise. According to the researchers, this limits its use.[2]

What your HOMA-IR value tells you

Cut-offs from the EPIRCE study

Cut-off (HOMA-IR)What it can point toWho it is for
3,46[1]Cut-off based on the 90th percentile of the populationAdults in a Spanish sample
2,05[1]Cut-off that takes into account features that together raise cardiometabolic riskAdults in a Spanish sample
1,85[1]Cut-off for a higher cardiometabolic riskMen without a known blood sugar regulation disorder
Depends on age[1]The cut-off should move with ageWomen without a known blood sugar regulation disorder

Source: Gayoso-Diz and others, EPIRCE study (2013), a random sample of 2,459 Spanish adults. These cut-offs apply to that group.[1]

HOMA-IR too high

A HOMA-IR above the cut-off can point to insulin resistance and to a higher metabolic and cardiovascular risk. Which cut-off fits depends on the group. In women without a known blood sugar regulation disorder, the cut-off should move with age.[1]

BioProfile is working on its own zones for each value, from risk to optimal. A doctor reviews those zones before they appear in your result.

What affects your HOMA-IR

Your fasting glucose and insulin

HOMA-IR is calculated from your fasting glucose and insulin. If either one changes, the result changes too. The estimate was strongly linked to fasting insulin (Rs = 0.81).[2]

Age and sex

In women without a known blood sugar regulation disorder, the accuracy of HOMA-IR was linked to age. In men, this was not the case.[1]

How precise the model is

The model has limited precision: the coefficient of variation is 31% for insulin resistance. According to the researchers, this limits how the estimate can be used.[2]

Which BioProfile packages measure HOMA-IR

HOMA-IR is included in BioProfile 121 and 150.[3]

Values that go with it

How this page was made

The BioProfile editorial team wrote this page on 10 October 2026 from the sources below, which we read on 10 October 2026. Every number on this page appears in one of those sources, with that source's number next to it. An expert has yet to check this page; after that check, the expert's name and the date of the check will appear at the top. This page offers explanation, not a diagnosis. Discuss a value outside the range with your GP.

Sources

  1. Gayoso-Diz P, Otero-González A, Rodriguez-Alvarez MX, et al. Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population: effect of gender and age: EPIRCE cross-sectional study. BMC Endocr Disord. 2013;13:47. https://pubmed.ncbi.nlm.nih.gov/24131857/
  2. Matthews DR, Hosker JP, Rudenski AS, et al. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412-9. https://pubmed.ncbi.nlm.nih.gov/3899825/
  3. BioProfile, the blood test packages and the values in each package. https://bioprofile.com/en/blood-testing/