
Fasting Insulin & HOMA-IR
Fasting Insulin & Homeostatic Model Assessment of Insulin Resistance
What it is
Fasting insulin measures the concentration of insulin in the blood after an overnight fast. Insulin is the hormone produced by the pancreatic beta cells that enables cells to absorb glucose from the blood. In a metabolically healthy person, a modest fasting insulin level is sufficient to maintain normal glucose. When cells become resistant to insulin's signal — a state called insulin resistance — the pancreas compensates by producing progressively more insulin to achieve the same effect. Fasting insulin therefore rises before fasting glucose does. It is an earlier signal. HOMA-IR (Homeostatic Model Assessment of Insulin Resistance) is not a measured test — it is a calculated index derived from fasting insulin and fasting glucose together. The formula, established by Matthews et al. in 1985, is: HOMA-IR = (fasting insulin [µIU/mL] × fasting glucose [mmol/L]) ÷ 22.5. It quantifies insulin sensitivity as a ratio — capturing not just how much insulin is present, but how that level relates to the prevailing glucose concentration, which together reflects how hard the pancreas is working to maintain metabolic control.
Why we measure it
Insulin resistance is the underlying metabolic disturbance that precedes type 2 diabetes by a decade or more. During this long period, fasting glucose and HbA1c may remain completely normal while fasting insulin is quietly rising — the pancreas compensating by working harder. Standard clinical screening misses this window entirely because it only measures glucose. Fasting insulin and HOMA-IR make the compensatory state visible before glucose moves. Beyond diabetes risk, insulin resistance is implicated across a wide range of conditions: cardiovascular disease, non-alcoholic fatty liver disease, polycystic ovary syndrome, hypertension, certain cancers, and cognitive decline. A landmark paper by Desprès et al. in the New England Journal of Medicine (1996) demonstrated that hyperinsulinaemia independently predicts ischemic heart disease — separate from any effect on lipids or blood pressure. Reaven's 1988 Banting Lecture formally established insulin resistance as a central pathophysiological mechanism across these conditions, coining the concept now known as metabolic syndrome. Data from the San Antonio Heart Study and the Insulin Resistance Atherosclerosis Study showed that elevated fasting insulin predicts the development of type 2 diabetes even when fasting glucose is normal.
Why every 3 months
Insulin sensitivity responds to lifestyle on a timescale of weeks to months — diet composition, physical activity, sleep quality, and body composition all shift HOMA-IR measurably within a single quarter. This makes HOMA-IR one of the most responsive markers to track in the Pulse protocol. A dietary change, an exercise intervention, or improved sleep that genuinely improves insulin sensitivity will be visible in the next quarterly draw. Annual testing cannot resolve this; nine months of drift or improvement goes undetected. Quarterly tracking of fasting insulin and HOMA-IR is how you see whether lifestyle is actually changing the underlying metabolic state — not just how it feels, but what it is.
What movement means
For HOMA-IR, there is no single authoritative clinical guideline that defines diagnostic thresholds the way the ADA defines HbA1c bands. The ranges below are drawn from research literature across multiple epidemiological cohorts and are reported here as reference values from those studies — not as clinical diagnostic criteria set by Nexuses. Thresholds also vary by population, ethnicity, body composition, and laboratory method, which is why they should be read as directional signals rather than absolute cutoffs. For fasting insulin, reference ranges are even less standardised across laboratories and guidelines. Values above approximately 15–25 µIU/mL in the fasted state are frequently associated with insulin resistance in the research literature when glucose is normal, but no single threshold has been adopted by a major clinical body.
High sensitivity
HOMA-IR < 1.0
Associated with high insulin sensitivity in multiple population studies.
Matthews et al., Diabetologia, 1985; Stern et al., Diabetes, 2005
Normal range
HOMA-IR 1.0 – 1.9
Within the normal reference range for most adult populations studied in the research literature.
Research literature consensus — no single authoritative guideline threshold
Early insulin resistance
HOMA-IR 2.0 – 2.9
Suggestive of early insulin resistance across multiple epidemiological studies. Trend direction across quarters is the most informative signal at this range.
Hanley et al., Diabetes, 2003; Stern et al., Diabetes, 2005
Significant insulin resistance
HOMA-IR ≥ 3.0
Associated with significant insulin resistance in multiple large cohort studies, including the San Antonio Heart Study and the Insulin Resistance Atherosclerosis Study.
Hanley et al., Diabetes, 2003; Ferrannini E, Natali A, Bell P, et al., Journal of Clinical Investigation, 1997
In the protocol
References
- 1.
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. “Homeostasis Model Assessment: Insulin Resistance and Beta-Cell Function from Fasting Plasma Glucose and Insulin Concentrations in Man.” Diabetologia. 1985.
- 2.
Reaven GM. “Banting Lecture 1988: Role of Insulin Resistance in Human Disease.” Diabetes. 1988.
- 3.
Desprès JP, Lamarche B, Mauriège P, et al.. “Hyperinsulinemia as an Independent Risk Factor for Ischemic Heart Disease.” New England Journal of Medicine. 1996.
- 4.
Hanley AJG, Williams K, Gonzalez C, et al.. “Prediction of Type 2 Diabetes Using Simple Measures of Insulin Resistance: Combined Results from the San Antonio Heart Study, the Mexico City Diabetes Study, and the Insulin Resistance Atherosclerosis Study.” Diabetes. 2003.
- 5.
Stern SE, Williams K, Ferrannini E, DeFronzo RA, Bogardus C, Stern MP. “Identification of Individuals with Insulin Resistance Using Routine Clinical Measurements.” Diabetes. 2005.
- 6.
Facchini FS, Hua N, Abbasi F, Reaven GM. “Insulin Resistance as a Predictor of Age-Related Diseases.” Journal of Clinical Endocrinology & Metabolism. 2001.