A Body Shape Index (ABSI) Calculator

Calculate your A Body Shape Index and ABSI z-score to assess mortality risk based on body shape, going beyond traditional BMI by incorporating waist circumference.

2–85 years
years
Biological sex for reference data
Your standing height
Your body mass
Measured at navel level

Results

BMI
ABSI
ABSI z-score
Relative Mortality Risk

What is A Body Shape Index (ABSI)?

The A Body Shape Index (ABSI) is an anthropometric measure developed in 2012 by Nir Y. Krakauer and Jesse C. Krakauer. It was designed to quantify the health risk associated with abdominal obesity, incorporating waist circumference into a metric that goes beyond the limitations of the traditional Body Mass Index (BMI).

While BMI simply relates weight to height, ABSI measures the contribution of abdominal fat (visceral adiposity) relative to what would be expected for a person's BMI and height. A higher ABSI indicates that the individual carries proportionally more weight around the abdomen than would be expected, which has been shown to be strongly associated with increased mortality risk.

The original research published in PLOS ONE demonstrated that ABSI is a substantial risk factor for premature mortality independent of BMI, age, and other anthropometric measures. This makes it a valuable complement to BMI in assessing overall health risk.

Why ABSI Matters — Beyond BMI

BMI has been the standard screening tool for obesity-related health risk for decades, but it has well-known limitations:

ABSI addresses these limitations by specifically incorporating waist circumference, which serves as a proxy for visceral adiposity. Research has shown that abdominal obesity — as measured by waist circumference — is independently associated with:

ABSI Formula Explained

The ABSI is calculated using a power-law relationship between waist circumference (WC), BMI, and height:

ABSI = WC / (BMI2/3 × Height1/2)

Where all measurements must be in metric units:

And BMI is calculated as:

BMI = Weight (kg) / Height (m)²

The exponents (2/3 for BMI and 1/2 for height) were derived from population data to best normalize waist circumference against body size. The result is a value that represents the "excess" waist circumference beyond what would be expected for a person's BMI and height.

Typical ABSI values range from about 0.06 to 0.10 m11/6kg-2/3. A value above approximately 0.0798 has been associated with elevated mortality risk.

ABSI Z-Score and Risk Assessment

Because the raw ABSI value is difficult to interpret in isolation, the ABSI z-score standardizes the result relative to a reference population (matched by age and sex):

ABSI z-score = (ABSI − ABSImean) / ABSISD

Where ABSImean and ABSISD are the mean and standard deviation of ABSI for the individual's age and sex group, derived from large population surveys (NHANES data).

The z-score interpretation:

ABSI Z-ScoreRisk CategoryRelative Mortality Risk
< -0.868Very Low~0.60x (significantly lower than average)
-0.868 to -0.272Low~0.76x (lower than average)
-0.272 to +0.229Average~1.00x (population average)
+0.229 to +0.798High~1.14x (higher than average)
> +0.798Very High~1.61x (significantly elevated)

How to Use This Calculator

  1. Enter your age — the calculator uses age-specific reference data for the z-score
  2. Select your biological sex — males and females have different fat distribution patterns and reference values
  3. Enter your height — you can switch between centimeters and inches
  4. Enter your weight — you can switch between kilograms and pounds
  5. Enter your waist circumference — measure at the level of your navel (umbilicus) while standing, breathing normally. Use a flexible tape measure around the bare skin.
  6. Click "Calculate ABSI" to see your results and risk interpretation

BMI vs. ABSI: Key Differences

FeatureBMIABSI
InputsWeight, HeightWeight, Height, Waist Circumference, Age, Sex
MeasuresOverall body size relative to heightAbdominal fat relative to body size
Fat DistributionNot consideredCentral focus — captures visceral adiposity
Muscle vs. FatCannot distinguishBetter distinction via waist measurement
Mortality PredictionModerate — U-shaped curveStrong — linear relationship with risk
Population AdjustmentFixed categories for allAge- and sex-adjusted z-scores

Importance of Waist Circumference

Waist circumference is a critical measurement in health assessment because it serves as an excellent proxy for visceral adipose tissue (VAT) — the metabolically active fat surrounding internal organs. Research has consistently shown:

When measuring waist circumference, it is important to:

Pros and Cons of ABSI

Advantages

Limitations

Frequently Asked Questions

What is a good ABSI score?

A "good" ABSI score is one that falls at or below the population average for your age and sex. Specifically, a z-score below 0 indicates below-average abdominal obesity relative to your body size. A z-score below -0.272 places you in the "low risk" category. The lower your ABSI z-score, the more favorable your body composition from a mortality risk perspective.

Can I improve my ABSI score?

Yes. Since ABSI is driven by waist circumference relative to body size, reducing abdominal fat will improve your score. The most effective strategies include regular aerobic exercise (which preferentially reduces visceral fat), strength training, a balanced diet rich in whole foods, adequate sleep, and stress management. Even modest reductions in waist circumference (2–5 cm) can meaningfully improve your ABSI.

Is ABSI better than BMI?

ABSI and BMI measure different things and are best used together. BMI captures overall body size, while ABSI specifically targets the health risk from abdominal obesity. Research shows that ABSI adds predictive value for mortality beyond what BMI alone provides. Someone with a normal BMI but high ABSI may be at hidden risk, while someone with a high BMI but normal ABSI (e.g., a muscular athlete) may be at lower risk than BMI suggests.

How does ABSI relate to diabetes risk?

Abdominal obesity (high ABSI) is strongly associated with insulin resistance and type 2 diabetes. Visceral fat interferes with insulin signaling and promotes chronic low-grade inflammation. Studies have shown that ABSI is a significant independent predictor of diabetes risk, particularly when combined with other metabolic markers.