Calculate your Abdominal Volume Index from waist and hip circumference. AVI predicts abdominal fat volume and metabolic syndrome risk.
The Abdominal Volume Index (AVI) estimates the volume of fat in the abdominal region using waist and hip circumference measurements. Developed by Guerrero-Romero and Rodríguez-Morán, the AVI uses a volumetric model of the trunk to approximate how much space abdominal adipose tissue occupies, providing a more direct estimate of abdominal fat quantity than simple circumference ratios.
The formula treats the abdomen as an elliptical cylinder, with the waist and hip circumferences defining the ellipse dimensions. The resulting index correlates with imaging-based measures of abdominal fat (CT and MRI volumetric assessments) and has been validated as a predictor of metabolic syndrome, dyslipidemia, and insulin resistance.
AVI is particularly useful because it combines both waist and hip measurements into a single volumetric metric. While waist circumference alone is a strong predictor of abdominal obesity, the addition of hip circumference helps distinguish between upper-body and lower-body fat deposition patterns, providing a more nuanced assessment of health risk.
Unlike simple circumference ratios, AVI produces a number that approximates actual abdominal fat volume. This volumetric approach is more physiologically meaningful than a ratio because it accounts for body size. AVI is quick to calculate from two tape-measure measurements, requires no scale or height measurement, and has been validated against imaging studies in multiple populations as a predictor of metabolic complications.
Abdominal Volume Index (AVI) = (2 × Waist² + 0.7 × (Waist − Hip)²) / 1000 Where Waist and Hip are in centimeters. The index approximates the volume (in liters) of an elliptical cylinder representing the abdomen. Higher values indicate greater abdominal fat volume. General risk cut-offs: • AVI < 13: Low risk • AVI 13–17: Moderate risk • AVI > 17: High risk
Result: AVI = 18.03
With a waist of 95 cm and hip of 100 cm: AVI = (2 × 95² + 0.7 × (95 − 100)²) / 1000 = (2 × 9025 + 0.7 × 25) / 1000 = (18050 + 17.5) / 1000 = 18.07. This value exceeds 17, placing the individual in the high-risk category for abdominal obesity and associated metabolic complications.
Most anthropometric indicators of abdominal obesity — waist circumference, waist-to-hip ratio, waist-to-height ratio — are one-dimensional or ratio-based. The Abdominal Volume Index takes a different approach by estimating a three-dimensional volume. This is conceptually closer to what imaging techniques measure and may therefore better reflect the physiological reality of abdominal fat accumulation.
Studies comparing AVI to CT and MRI volumetric assessments of abdominal fat have found moderate to strong correlations (r = 0.60–0.80). While AVI cannot match the precision of imaging, it performs well as a low-cost, non-invasive screening tool. In large population studies where imaging every participant is impractical, AVI offers an efficient alternative.
Metabolic syndrome — defined by the co-occurrence of central obesity, elevated triglycerides, low HDL cholesterol, hypertension, and high fasting glucose — affects over 20% of adults worldwide. AVI has been found to predict metabolic syndrome with area-under-the-curve (AUC) values comparable to waist circumference and superior to BMI alone, making it a valuable addition to population screening protocols.
AVI requires only a tape measure and basic arithmetic, making it ideal for community health screenings, school health programs, and resource-limited clinical settings. Training a non-specialist to measure waist and hip circumference accurately takes minutes, and the calculation can be done on any basic calculator or smartphone.
The AVI is an anthropometric measure that estimates the volume of abdominal fat using waist and hip circumference measurements. It models the abdomen as an elliptical cylinder and produces a value in approximate liters of abdominal volume. Higher values indicate greater abdominal fat accumulation.
AVI values above approximately 17 are associated with significantly elevated risk of metabolic syndrome, insulin resistance, and cardiovascular disease. Values between 13 and 17 indicate moderate risk, and values below 13 are generally considered low risk. Exact thresholds may vary by study population.
Waist-to-hip ratio (WHR) is a simple division yielding a dimensionless number. AVI uses both measurements in a volumetric formula that accounts for the difference between waist and hip sizes, producing a value that approximates actual abdominal volume. AVI correlates more strongly with imaging-measured abdominal fat than WHR in some studies.
No. AVI uses only waist and hip circumference, making it exceptionally simple to measure. This is an advantage in field settings or when scales and stadiometers are unavailable. However, for a complete health assessment, combining AVI with BMI or other metrics provides a more comprehensive picture.
AVI estimates total abdominal volume, which includes both visceral and subcutaneous abdominal fat. It cannot distinguish between the two. However, since waist circumference is a strong correlate of visceral fat, AVI values indirectly reflect visceral fat levels. For specific visceral fat quantification, imaging methods (CT, MRI, DEXA) are needed.
AVI has been validated in Mexican, Brazilian, and European populations with moderate to strong correlations against CT/MRI-measured abdominal fat. However, population-specific cut-offs may differ. More research is needed in Asian and African populations to establish universally applicable thresholds.
Monthly measurements are sufficient for tracking trends. More frequent measurements may introduce noise due to daily fluctuations in hydration and abdominal distension. Always measure under the same conditions (time of day, fasting state) for best comparability.
Yes. Aerobic exercise can reduce abdominal fat (and therefore waist circumference) even without significant changes on the scale, because muscle mass may increase while fat decreases. This would lower the AVI while total body weight remains stable — a positive outcome that AVI captures but weight alone would miss.