HOMA-IR & the numbers
Insulin resistance is invisible on the tests most people actually get — a fasting glucose can read "normal" while the pancreas quietly triples its output to hold it there. The fix is a short, cheap add-on to a standard blood draw plus a little arithmetic. This page walks through HOMA-IR, the other indices, and exactly which labs to request so the numbers stop being a surprise.
What the evidence supports
- Fasting insulin and glucose are enough to compute HOMA-IR, the most widely used index in research and practice (Diabetologia, 1985).
- The triglyceride-to-HDL ratio from a standard lipid panel tracks insulin resistance well in population studies (Diabetes Care, 2001).
- Simple indices predict future type 2 diabetes nearly as well as far more elaborate testing (Diabetes, 2003).
What remains uncertain
- There is no single agreed "abnormal" HOMA-IR threshold — cut points vary by population, age, and ethnicity.
- Fasting indices capture mostly the liver's contribution and can miss post-meal insulin handling.
- Fasting insulin varies day to day, so a single high value deserves a repeat before conclusions.
Evidence last reviewed: August 15, 2026. Conclusions may change as new research is published.
the arithmetic behind the lab order
The Measurement Problem
A single fasting glucose is the test most adults get, and it is nearly blind to the condition it is supposed to catch. For years of developing resistance, the pancreas simply makes more insulin and holds glucose in the normal range — the meter sees stability, while the hormone that produced it has tripled. The parent topic explains the lock-and-key biology; this page is about seeing past the illusion. The research reference standard is the euglycemic clamp, in which glucose and insulin are infused at controlled rates and the glucose infusion rate needed to hold blood sugar steady directly quantifies sensitivity (American Journal of Physiology, 1979). It is precise, expensive, and confined to studies — so clinical medicine uses fasting surrogates instead, and the most famous is HOMA-IR.
HOMA-IR: The Formula, Worked
HOMA-IR comes from a 1985 modeling paper that fitted a mathematical model of the insulin–glucose feedback loop and calibrated it so healthy young adults land around 1.0 (Diabetologia, 1985). The arithmetic is one line:
🧮 The one-line formula
HOMA-IR = fasting insulin (µU/mL) × fasting glucose (mg/dL) ÷ 405 — or, in SI units, insulin (mU/L) × glucose (mmol/L) ÷ 22.5. Both draws come from the same fasting tube.
Two worked examples. Person A: fasting insulin 12 µU/mL, glucose 95 mg/dL → 12 × 95 = 1,140 ÷ 405 = 2.8 — worth investigating. Person B: insulin 7 µU/mL, glucose 88 mg/dL → 616 ÷ 405 = 1.5 — unremarkable. Note what the index inherits from its assumptions: it models a steady fasting state, so it mostly reflects what the liver is doing with overnight glucose, and it says nothing about how you handle a meal. A 2004 review of the model's uses and abuses (Diabetes Care, 2004) is the standard cautionary read: HOMA-IR is a reasonable population tool and a useful personal trend line, not a measurement with clamp-grade precision. The refined computer version, HOMA2 (Diabetes Care, 1998), adjusts the model for modern insulin assays — many online calculators run it, and for routine tracking the difference is small.
The Lab Menu: What to Actually Request
You can assemble a defensible insulin-resistance panel from tests that are all standard, cheap, and drawn in one sitting. The key move: insulin must be requested explicitly — it is not part of a default metabolic or lipid panel at many labs.
- 🧪 Fasting insulin + fasting glucose, same draw. The HOMA pair. Fast 8–10 hours, draw in the morning, done.
- 🩸 HbA1c. A three-month average of glucose exposure. A value drifting upward inside the "normal" range is an early tell — the Glucose 101 topic owns that signal.
- 🫗 A standard lipid panel. Triglycerides and HDL are already in it, and their ratio is a free resistance proxy — the lipid panel topic covers the rest of what that sheet says.
- 🍬 A 2-hour oral glucose tolerance test, when suspicion is high. The deeper net that catches post-meal handling that fasting numbers miss — and the earliest abnormality in trajectory studies (see the decade before diabetes).
- 🩺 Liver enzymes, for context. Fatty liver frequently rides along with resistance; an elevated ALT adds weight to a borderline HOMA result (the visceral fat topic explains the connection).
Ordering labs, interpreting them, and deciding whether anything needs treatment are clinician territory — the request list above is a conversation starter, not a prescription.
Reading the Numbers: Thresholds and Their Limits
The honest headline: there is no universal "high." Studies flag HOMA-IR above 2.0, 2.5, or 2.7 depending on population, age, and ethnicity, and what counts as unremarkable in one cohort is elevated in another. Three habits make the number useful anyway. First, track the trend, not the single value — two draws a few weeks apart beat one, because fasting insulin wobbles day to day with sleep, stress, and recent meals. Second, read HOMA alongside its cousins: QUICKI (Journal of Clinical Endocrinology & Metabolism, 2000) is the same two blood values run through different math — 1 ÷ (log insulin + log glucose) — and it moves in lockstep with HOMA, which is a useful sanity check, not extra information. Third, let the free proxies arbitrate. When HOMA, the TG/HDL ratio, and waist circumference all point the same direction, the conclusion is stronger than any one of them alone.
| Marker | What it reflects | Green-ish | Worth investigating | Verdict |
|---|---|---|---|---|
| 🧪 Fasting insulin | Basal insulin load | < ~8 µU/mL | Above ~10–12 µU/mL | Good |
| 🧮 HOMA-IR | Fasting composite | < ~1.5–2 | Above ~2–2.5 | Good |
| 🫗 TG/HDL ratio | Lipid fingerprint of resistance | < ~1.5 | Above ~2–3 | Moderate |
| 🩸 HbA1c trend | Glucose exposure over months | Stable < 5.5% | Rising within "normal" | Good |
| 🍬 2-h OGTT glucose | Post-meal handling | < 140 mg/dL | 140–199 mg/dL | Moderate |
These bands are pragmatic summaries of ranges used in clinical practice and research, not diagnostic lines — the table exists to give you questions for a clinician, not answers to skip one.
The Free Proxies Already in Your Panel
If you want to spend zero extra dollars, you still have two signals. The triglyceride-to-HDL ratio outperformed other simple measures as an insulin-resistance flag in a general-population comparison (Diabetes Care, 2001), and in pooled analyses across three large cohorts, simple indices built from routine labs predicted incident type 2 diabetes nearly as well as fasting insulin itself (Diabetes, 2003). The arithmetic is as easy as HOMA: triglycerides 150 mg/dL with HDL 45 mg/dL gives 3.3 — a red flag; triglycerides 90 with HDL 60 gives 1.5 — reassuring. The second free signal is a tape measure: waist circumference is the physical proxy for the fat depot that drives resistance, with cutoffs in the body composition topic. When both free proxies agree with the lab panel, you have a picture worth acting on.
Putting It on a Schedule
One HOMA-IR reading answers nothing; the trend answers everything. A reasonable cadence: a baseline panel now, a repeat in 3–6 months if any value sits in the "investigate" band, and re-testing after a deliberate 12-week change — the reversal page details which levers move these numbers fastest. Keep the conditions constant: same lab, same 8–10 hour fast, morning draw, and ideally a stable week of sleep beforehand, since short sleep measurably worsens next-day insulin sensitivity. The quarterly audit protocol shows how to slot this into a routine that also tracks waist and blood pressure. Whatever the numbers say, the next step is a conversation with a qualified professional — labs measure, they don't prescribe.
⚠️ The fasting-only blind spot
HOMA-IR sees the overnight state, not the meal response. If family history, waist, or symptoms argue for resistance while fasting numbers look fine, ask about an oral glucose tolerance test — it catches post-meal handling that fasting indices can miss entirely, especially in leaner people.
Questions, Answered Briefly
- 💉 Does HOMA-IR need special equipment? No — it is arithmetic on two values from one ordinary blood tube. The catch is that many labs don't run insulin unless someone asks for it.
- 📅 How often should I test? Once or twice a year is plenty for tracking; more often than quarterly mostly amplifies noise. Re-test ~12 weeks after a real intervention.
- 🤷 What if it's high but I feel fine? That is the entire point of this condition — it is silent by design. The next page, the decade before diabetes, shows what the silence costs.
- 📱 Can a glucose monitor substitute? No — continuous monitors see glucose, which stays "normal" during the compensated phase precisely because insulin is rising. The hormone, not the sugar, is the early signal.
The Bottom Line
- Fasting glucose alone is nearly blind to insulin resistance — the pancreas compensates for years before the number moves.
- HOMA-IR is one line of arithmetic — insulin × glucose ÷ 405 — on values you can request in a single fasting draw.
- No universal cutoff exists — track trends, repeat borderline values, and let the free proxies (TG/HDL, waist) arbitrate.
- The labs are cheap and the stakes are a decade of warning — request fasting insulin explicitly, and let a clinician read the results with you.
Related Topics
- Matthews et al., "Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man," Diabetologia (1985)
- DeFronzo, Tobin & Andres, "Glucose clamp technique: a method for quantifying insulin secretion and resistance," American Journal of Physiology (1979)
- Wallace, Levy & Matthews, "Use and abuse of HOMA modeling," Diabetes Care (2004)
- Levy, Matthews & Hermans, "Correct homeostasis model assessment (HOMA) evaluation uses the computer program," Diabetes Care (1998)
- Katz et al., "Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans," Journal of Clinical Endocrinology & Metabolism (2000)
- McAuley et al., "Diagnosing insulin resistance in the general population," Diabetes Care (2001)
- Hanley et al., "Prediction of type 2 diabetes using simple measures of insulin resistance," Diabetes (2003)