ABSI Calculator - A Body Shape Index
Enter your sex, age, height, weight, and waist circumference to get your A Body Shape Index (ABSI), the age- and sex-adjusted z-score, and your mortality risk quintile. ABSI improves on BMI by capturing abdominal fat independently of height and weight. Results update instantly as you type, in metric or imperial units.
Formula
Worked example
A 35-year-old male: height 175 cm (1.75 m), weight 80 kg, waist 88 cm (0.88 m). BMI = 80 / 1.75^2 = 26.12. BMI^(2/3) = 26.12^(2/3) = 8.698. sqrt(1.75) = 1.3229. ABSI = 0.88 / (8.698 x 1.3229) = 0.88 / 11.504 = 0.07649. Reference mean = 0.08039, SD = 0.00358. Z-score = (0.07649 - 0.08039) / 0.00358 = -1.09 (Very Low Risk).
What is ABSI?
A Body Shape Index (ABSI) is an anthropometric measure introduced in a 2012 study by Krakauer and Krakauer. It quantifies abdominal obesity by relating waist circumference to height and body mass index in a way that makes the result independent of the person's total body size. In practical terms, two people with the same height and weight can have very different ABSI values if one carries weight around the abdomen and the other carries it elsewhere. Research using US National Health and Nutrition Examination Survey (NHANES) data found that a higher ABSI was associated with higher all-cause and cardiovascular mortality independently of BMI, making it a potentially useful complement to BMI when assessing metabolic and cardiovascular risk.
How ABSI is calculated
The formula is ABSI = WC / (BMI^(2/3) x height^(1/2)), where waist circumference (WC) and height are both in metres and BMI is in kg/m^2. The exponents 2/3 and 1/2 were chosen to make ABSI dimensionally consistent and to remove the mathematical dependence of waist circumference on height and weight that confounds simpler waist-based metrics. Once the raw ABSI is computed, it is converted to a z-score by subtracting the age- and sex-specific population mean and dividing by the population standard deviation, both drawn from NHANES Table S1 published alongside the original paper. The resulting z-score tells you how many standard deviations above or below the average your abdominal fat level is for your demographic group.
ABSI vs BMI and waist circumference alone
BMI (weight / height^2) is a proxy for total body fat but cannot distinguish where that fat sits. Visceral abdominal fat - the fat packed around internal organs - is metabolically active and strongly linked to insulin resistance, type 2 diabetes, hypertension, and cardiovascular disease. Waist circumference alone captures abdominal size but is confounded by height and overall body mass, so a 120 cm waist on a 200 cm frame carries different risk than the same waist on a 160 cm frame. ABSI explicitly controls for both height and BMI, so the measure isolates the component of abdominal fat that is not already explained by a person's overall size. Studies have found that ABSI adds predictive value for mortality even after adjusting for BMI, making the two measures complementary rather than redundant.
How to measure your waist correctly
Measurement consistency matters because even a 2 cm error changes your ABSI noticeably. Stand upright with your feet together and breathe out normally - do not suck in. Place a flexible tape measure around your bare abdomen at the midpoint between the bottom of your lowest rib and the top of your hip bone (iliac crest). For most people this is roughly at the level of the navel. The tape should be snug but not compressing the skin. Take the reading at the end of a normal exhale. Repeat twice and use the average. Avoid measuring after a large meal or when wearing thick clothing. Comparing readings over time only makes sense if you use the same landmark and technique each time.
ABSI z-score risk quintiles
| Z-Score Range | Quintile | Risk Label | Interpretation |
|---|---|---|---|
| Below -0.868 | 1st (lowest 20%) | Very Low Risk | Well below average waist for age and sex |
| -0.868 to -0.272 | 2nd | Low Risk | Below-average waist circumference |
| -0.272 to +0.229 | 3rd (middle) | Average Risk | Typical for age and sex |
| +0.229 to +0.798 | 4th | High Risk | Above-average abdominal fat |
| Above +0.798 | 5th (highest 20%) | Very High Risk | Substantially elevated abdominal obesity |
Based on Krakauer & Krakauer (2012) NHANES data. Quintiles reflect relative mortality risk compared with the reference population of the same age and sex.
Frequently asked questions
What does ABSI measure that BMI does not?
BMI captures total body mass relative to height but treats all fat and muscle as interchangeable. ABSI focuses specifically on abdominal fat by relating waist circumference to height and BMI together. This means a person with a very muscular build but a slim waist could have a low ABSI despite a high BMI, while a lightly-built person carrying most of their weight around the middle could have a high ABSI despite a normal BMI. Research shows this abdominal component independently predicts mortality, so ABSI adds information BMI does not.
What is a good ABSI z-score?
The z-score measures how far your ABSI is from the average for people of the same age and sex. A z-score below -0.272 (below average) corresponds to a relatively lean waist, while a z-score above +0.229 is above average and above +0.798 is in the top quintile for abdominal fat. A z-score near zero means your abdominal size is typical for your demographic. Lower is generally better because higher abdominal fat is linked to greater cardiometabolic risk, but a very low z-score does not guarantee good health on its own.
Why does ABSI use age- and sex-specific reference values?
Waist circumference naturally changes with age and differs between males and females in ways that reflect normal biology rather than disease risk. Using a single population mean would make older adults appear far above average simply because waist circumference tends to expand with age, even among healthy people. By adjusting for age and sex using NHANES reference data, the z-score reflects how your waist compares with peers of the same demographic, giving a more meaningful picture of relative risk.
Can I use ABSI if my BMI is in the normal range?
Yes. In fact, ABSI is particularly useful for people whose BMI is normal but whose waist circumference is disproportionately large for their size, a pattern sometimes called normal-weight obesity or metabolically obese normal weight. These individuals can be missed by BMI screening but identified by ABSI. Conversely, someone with a high BMI but a relatively narrow waist (often athletes or people with dense muscle) may have a lower ABSI z-score than their BMI would suggest.
How accurate is the waist measurement?
Waist circumference is the most sensitive input in the ABSI formula. A 1 cm difference in waist measurement changes ABSI by roughly 0.00044, which can shift the z-score noticeably. For this reason, consistent measurement technique is important, and comparing readings over time is only valid if you use the same landmark (midpoint between lowest rib and iliac crest), the same tape tension, and the same breath point (end of a normal exhale) each time.
Does ABSI apply to children?
The Krakauer 2012 reference dataset includes NHANES data from age 2 through 85, so this calculator can compute z-scores for children and teenagers. However, the mortality risk interpretation from adult quintile bands was derived primarily from adults. For children and adolescents, ABSI is best treated as a relative comparison within the same age and sex group, not as a predictor of near-term health outcomes.
Can I reduce my ABSI?
Yes. ABSI responds to reductions in waist circumference. Aerobic exercise (particularly sustained moderate-intensity activity such as brisk walking, cycling, or swimming) is especially effective at reducing visceral abdominal fat. Dietary changes that reduce refined carbohydrates and added sugars also tend to reduce waist circumference. Because ABSI adjusts for height and weight, losing weight alone reduces ABSI only to the extent that the weight loss comes from the abdomen - targeted abdominal reduction through exercise and diet is more effective than overall weight change.
Sources
- Krakauer NY, Krakauer JC. A New Body Shape Index Predicts Mortality Hazard Independently of Body Mass Index. PLOS ONE. 2012.
- National Health and Nutrition Examination Survey (NHANES), Centers for Disease Control and Prevention.
- Gonzalez-Muniesa P, et al. Obesity. Nature Reviews Disease Primers. 2017.