Audited 29 Jul 2026·Last updated 28 Oct 2026·4 citations·Tier 2·0 uses

ABSI Calculator — A Body Shape Index

Calculate A Body Shape Index from waist, height and weight, with a z-score against US age and sex norms and the mortality hazard from the 2012 paper.

ABSI Calculator (A Body Shape Index)

Sex
Mean ABSI rises about 14 % between ages 18 and 85, so the reference must match your age. The published table treats 85 as 85-and-over.
yr
Units
Body weight in kilograms. Used when Units = Metric.
kg
Standing height in centimetres. Used when Units = Metric.
cm
Waist in centimetres, measured just above the top edge of the hip bone (iliac crest), tape horizontal, read at the end of a normal breath out — the NHANES protocol the reference values were built on. Used when Units = Metric.
cm
Body weight in pounds. Used when Units = Imperial.
lb
Standing height in inches. Used when Units = Imperial.
in
Waist in inches, at the same iliac-crest landmark. Used when Units = Imperial.
in
A Body Shape Index (m^11/6 kg^-2/3)
0.0784
A Body Shape Index in m^(11/6)·kg^(−2/3), typically near 0.08 in adults; it means little until compared with the reference through the z-score.
ABSI z-score
-0.8889
Vs US reference
Below the US age/sex mean
Relative hazard
0.7761
Hazard, 95 % CI low
0.7058
Hazard, 95 % CI high
0.8504
Reference mean
0.0817
Reference SD
0.0037
BMI (for comparison)
25.2493 kg/m²

Background.

Two 45-year-old men are both 178 cm tall and weigh 80 kg, so both have a BMI of 25.25. One measures 90 cm round the waist, the other 100 cm. BMI cannot tell them apart. A Body Shape Index can: it asks whether a waist is large for the body it belongs to, once the part of waist size that simply follows from height and weight has been divided out.

Nir and Jesse Krakauer introduced the index in PLoS ONE in 2012, using 14,105 adults from the US National Health and Nutrition Examination Survey (NHANES) of 1999–2004. In data like that, waist circumference and BMI are so closely correlated, around 0.9, that it is hard to say what a waist measurement adds once BMI is known. Their answer was to find the powers of weight and height that best predict waist, and to define ABSI as the ratio of a person's actual waist to that prediction. The result is almost uncorrelated with height, weight and BMI, yet it tracked mortality: over a mean follow-up of 4.8 years, during which 828 participants died, death rates rose by about 33% for each standard deviation of ABSI above average.

The raw index is an awkward number, about 0.08 in units of m^(11/6)·kg^(−2/3), so the figure to read is the z-score, the number of standard deviations you sit from the published mean for your exact age and sex. That mean climbs with age, by about 14% in men between 18 and 85, so comparing everyone with one all-ages average would flatter older people and penalise younger ones.

ABSI describes shape. It does not measure body fat or diagnose anything, and judgements about your own health belong with a clinician who can see blood pressure, blood tests and history alongside it.

What is absi calculator (a body shape index)?

A Body Shape Index is waist circumference divided by the waist expected for a person's BMI and height: ABSI = WC ÷ (BMI^(2/3) × height^(1/2)), with waist and height in metres and weight in kilograms. The exponents come from the Krakauers' regression, in which waist scaled roughly as weight to the two-thirds times height to the minus five-sixths. Because that predictable part is divided out, ABSI had absolute correlations below 0.1 with height, weight and BMI in the derivation sample. The NHANES adult mean was 0.0808, with a standard deviation of 0.0053.

How to use this calculator.

  1. Choose your sex and enter your age; together they pick the reference row. Everyone aged 85 or over is compared with the 85 row.
  2. Pick metric or imperial and fill in the matching weight, height and waist fields; the other set is ignored.
  3. Measure the waist where the reference data were measured: find the top of the hip bone at your side, run the tape horizontally round at that level, and read it at the end of a normal breath out. The navel and the narrowest point give different numbers.
  4. Measure twice and use the average. For the man in the worked example, 1 cm of waist moves the z-score by about 0.24, nearly a quarter of a standard deviation.
  5. Read the z-score first, then the hazard with its interval, then the BMI shown beside them.

The formula.

ABSI = WC ÷ (BMI^⅔ × height^½) · z = (ABSI − mean) ÷ SD

ABSI = WC ÷ (BMI^(2/3) × H^(1/2)), which rearranges to WC × W^(−2/3) × H^(5/6), with waist WC and height H in metres and weight W in kilograms. Imperial entries are converted first at exactly 0.45359237 kg per pound and 2.54 cm per inch. The index has units, so it is only comparable with the reference values when computed in metres and kilograms.

The z-score is (ABSI − mean) ÷ SD, where the mean and SD are the smoothed age- and sex-specific values in Table S1 of the paper's supplement, one row per year of age from 18 to 85. Age is taken in completed years.

The relative hazard is 1.33^z, the paper's estimate of 33% higher mortality per standard deviation, and the two interval figures are 1.20^z and 1.48^z from its 95% confidence interval. When z is negative the 1.20 figure is the larger of the two, so the page shows the smaller as the low end and the larger as the high end. Each compares you with someone of the same age, sex, height and weight whose ABSI sits exactly on the mean.

Two directions are worth checking against intuition. A bigger waist at the same height and weight raises ABSI. More weight at the same waist and height lowers it, because a heavier body is expected to carry a bigger waist.

The band shown is descriptive only: more than one SD below the mean, below it, above it, or more than one SD above. Five-band risk scales that circulate online could not be traced to the source paper, so none is applied.

A worked example.

Example

A 45-year-old man is 178 cm tall, weighs 80 kg and has a 90 cm waist; in metres, 1.78 and 0.90. His BMI is 80 ÷ 1.78² = 25.2493, and raising that to the two-thirds power gives 8.6066. The square root of his height is 1.3342. Their product, 11.4827, is the scaling his size predicts, and dividing his waist by it gives ABSI = 0.90 ÷ 11.4827 = 0.0784. The reference row for a man of 45 has a mean of 0.08165 and an SD of 0.00368. His z-score is (0.07838 − 0.08165) ÷ 0.00368 = −0.8889: his waist is almost nine-tenths of a standard deviation smaller than expected for his age, sex and size. The relative hazard is 1.33^(−0.8889) = 0.7761, and the published interval gives a range of 0.7058 to 0.8504. BMI puts him just over the line conventionally labelled overweight, while ABSI says that weight is not concentrated around his middle. That is the pairing the index was built to reveal.

waist Cm90
height In70
weight Lb176
sexmale
height Cm178
unitsmetric
waist In35.4
age45
weight Kg80

Frequently asked questions.

Why would gaining weight lower my ABSI?
Because the index divides waist by a function of weight. Keep the example man's 178 cm and 90 cm waist but make him 95 kg and his z-score falls from −0.89 to −3.19. That is not a health improvement; it means his extra weight is not carried at the waist. Read ABSI with BMI, never in place of it.
Is ABSI better than waist-to-height ratio?
It answers a different question. Waist-to-height ratio ignores weight, so at 178 cm and a 90 cm waist, a 70 kg man and a 110 kg man share a ratio of 0.51. Their ABSI z-scores are +1.09 and −4.96, because a 90 cm waist is large for the lighter frame and small for the heavier one.
What does the relative hazard actually tell me?
It is 1.33 raised to your z-score, comparing you with a person of your age, sex, height and weight whose waist is exactly average. It comes from one US cohort followed for about five years, so it describes group risk, not your personal chance of dying. Blood pressure, lipids, glucose, smoking and family history are outside it.
Does a z-score of +1 mean my risk is 33% higher?
In the paper's model, yes: 1.33 to the power 1 is 1.33, relative to an otherwise identical person with an average ABSI. The confidence interval runs from 1.20 to 1.48, and the 100 cm waist in the introduction gives z = +1.48 and a hazard of 1.52. These are statistical associations, not proof that the waist itself causes the difference.
Does the US reference apply to people elsewhere?
With caution. The means and SDs describe American adults surveyed in 1999–2004. Within that sample the mortality association held for white and black participants but did not reach statistical significance for participants of Mexican ethnicity. Later studies have examined ABSI in other populations, and a locally derived reference would be the better comparison where one exists.
Why do men and women have different reference values?
Average waist shape differs by sex at every adult age, and so does its change with age. In the reference table men's mean ABSI rises from 0.07702 at 18 to 0.08811 at 85, about 14%. Women's rises from 0.07775 to 0.08533, about 10%, after dipping slightly between 18 and the mid-twenties.
Why is there no high-risk or low-risk label?
The five-band scales seen on some other sites, with fixed z-score cut-offs, could not be traced to the 2012 paper or to its supplementary data. Rather than print a label without a source, the result shows the z-score, the exact reference values it was measured against, and a plain description of where it falls.

References& sources.

  1. [1]Krakauer NY, Krakauer JC. "A New Body Shape Index Predicts Mortality Hazard Independently of Body Mass Index." PLoS ONE. 2012;7(7):e39504. PMID 22815707, PMC3399847. Source of the ABSI definition (Eq. 3), its units m^(11/6) kg^(−2/3), the NHANES sample mean of 0.0808 ± 0.0053, the z-score definition (Eq. 4), the hazard ratio of 1.33 per SD (95 % CI 1.20–1.48, Table 2), the correlations with height, weight and BMI below 0.1 (Table 1), the waist measurement protocol, and the null result for Mexican ethnicity (Table 3). Open access — the PDF was downloaded and every figure above read verbatim.
  2. [2]Krakauer NY, Krakauer JC — Table S1, supporting information to the above (doi:10.1371/journal.pone.0039504.s001; figshare item 122583, file Table_S1.txt, version 1, CC BY 4.0). The complete age- and sex-specific smoothed ABSI means and standard deviations from NHANES 1999–2004. All 68 adult rows (ages 18–85) are embedded verbatim in this calculator. Downloaded and MD5-verified against the figshare record (8e3ec4d9abfbd9dfaaf4377a120830a2).
  3. [3]Centers for Disease Control and Prevention / National Center for Health Statistics — NHANES Anthropometry Procedures Manual, §3.4.8 Abdominal (Waist) Circumference, reproduced as PhenX Toolkit protocol 21604. Source of the waist measurement instruction: the uppermost lateral border of the right ilium at the midaxillary line, tape horizontal, read at the end of normal expiration.
  4. [4]National Institute of Standards and Technology — "Guide for the Use of the International System of Units (SI)," NIST Special Publication 811, 2008 edition, Appendix B.9. Source of the exact conversions 1 lb = 0.45359237 kg and 1 in = 2.54 cm used for imperial input.

How this page was produced

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Primary sources
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Method
ABSI = WC ÷ (BMI^⅔ × height^½) · z = (ABSI − mean) ÷ SD
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