ABSI Body Shape Index

The A Body Shape Index (ABSI) is a metric that combines height, weight, and waist circumference to estimate health risks associated with body fat distribution. Unlike BMI, ABSI accounts for fat distribution around the waist, which can be a more accurate indicator of risks for heart diseases, diabetes, and other conditions. Enter your measurements below to get your ABSI score.

System

Weight

Height

Age

Gender

Waist circumference

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1. Introduction to ABSI

Evaluating an individual's health is a complex and multifactorial process. Historically, the Body Mass Index (BMI) has been widely used as an indicator of physical health. However, ABSI (A Body Shape Index) is a new index introduced following a pioneering study conducted in the United States. Its relevance and popularity have grown over the years, as it more accurately takes into account the distribution of body fat than BMI does.

2. Data Origin

Data regarding ABSI primarily comes from the NHANES study carried out in the United States. This study highlighted the importance of this index in evaluating physical health and the risks associated with certain diseases.

3. Advantages of Using ABSI

The significant advantage of ABSI is that it's less influenced by stature or height. Moreover, several studies have shown that ABSI is a better predictor of health risks, such as cardiovascular diseases or diabetes, compared to BMI.

4. Comparison between ABSI and BMI

Unlike the BMI, which mainly relies on weight and height, ABSI incorporates waist circumference to assess the distribution of body fat. This provides a more detailed and accurate view of an individual's health, highlighting the risks associated with central fat accumulation, often linked to major health issues.

5. Calculation Method for ABSI and ABSI z-score

The standard formula to calculate ABSI is:

`\text{ABSI} = \text{Waist Circumference} / (\text{BMI}^(2/3) * \text{Height}^(1/2))`

It is important to emphasize that for accurate interpretation, one must consider the individual's gender and age, even though the formula itself does not directly incorporate these factors.

The ABSI Z-Score evaluates how far an individual's ABSI is from the average of their reference population in terms of standard deviations. The formula to calculate the ABSI z-score is:

`\text{ABSI Z-Score} = (\text{Individual ABSI} - \text{Population's average ABSI}) / \text{ABSI standard deviation of the population}`

This standardization allows for a better comparison and interpretation of ABSI relative to a given population.

6. Interpretation Using the ABSI Z-Score Table

To assess the mortality risk associated with an individual's ABSI, we use the Z-Score. This score indicates how many standard deviations the individual's ABSI value is from the population average. The table below provides a scale to interpret the ABSI Z-Score in terms of mortality risk:

ABSI Z-Score	Mortality Risk
Less than -0.868	Very Low
-0.868 to -0.272	Low
-0.272 to 0.229	Moderate
0.229 to 0.798	High
More than 0.798	Very High

7. ABSI Reference Values According to the NHANES Study

This table presents the average values and standard deviation of ABSI for different ages and genders, as observed in the NHANES study.

Gender : Male

Age	Average ABSI	ABSI Standard Deviation	Smoothed Average ABSI	Smoothed ABSI Standard Deviation
2	0.07778	0.00312	0.0789	0.00384
3	0.07931	0.00283	0.07915	0.00384
4	0.07932	0.003	0.07937	0.00383
5	0.08009	0.00335	0.07955	0.00383
6	0.07989	0.00362	0.07964	0.00382
7	0.07968	0.00341	0.07966	0.00382
8	0.08063	0.00415	0.07958	0.00382
9	0.08025	0.00423	0.07942	0.00381
10	0.07969	0.00408	0.07917	0.00381
11	0.07964	0.00442	0.07886	0.00381
12	0.07953	0.00438	0.07849	0.0038
13	0.07807	0.00434	0.0781	0.0038
14	0.07712	0.00436	0.07772	0.0038
15	0.07647	0.00415	0.07739	0.00379
16	0.07583	0.00379	0.07716	0.00379
17	0.07625	0.00376	0.07703	0.00378
18	0.07665	0.00361	0.07702	0.00378
19	0.07665	0.00393	0.07711	0.00378
20	0.07715	0.0041	0.07728	0.00377
21	0.07754	0.0037	0.0775	0.00377
22	0.07861	0.00452	0.07777	0.00377
23	0.07839	0.00364	0.07804	0.00376
24	0.07794	0.00363	0.07831	0.00376
25	0.0788	0.00354	0.07858	0.00376
26	0.07895	0.00381	0.07882	0.00375
27	0.07936	0.00402	0.07904	0.00375
28	0.07999	0.00387	0.07922	0.00374
29	0.07944	0.00381	0.07938	0.00374
30	0.07949	0.0037	0.07951	0.00374
31	0.0789	0.00317	0.07963	0.00373
32	0.07922	0.00374	0.07975	0.00373
33	0.0801	0.00408	0.07988	0.00373
34	0.07977	0.00367	0.08	0.00372
35	0.08039	0.00358	0.08013	0.00372
36	0.07966	0.00397	0.08027	0.00371
37	0.07999	0.00381	0.08042	0.00371
38	0.08031	0.00367	0.08057	0.00371
39	0.08114	0.00363	0.08072	0.0037
40	0.08089	0.00354	0.08087	0.0037
41	0.08127	0.00335	0.08102	0.0037
42	0.08122	0.00347	0.08117	0.00369
43	0.08084	0.00339	0.08132	0.00369
44	0.0811	0.00327	0.08148	0.00368
45	0.0814	0.00332	0.08165	0.00368
46	0.08272	0.00426	0.08183	0.00368
47	0.08176	0.00306	0.08201	0.00367
48	0.08119	0.00323	0.08221	0.00367
49	0.08272	0.004	0.0824	0.00367
50	0.08322	0.00333	0.0826	0.00366
51	0.08261	0.00385	0.08279	0.00366
52	0.08281	0.0036	0.08297	0.00365
53	0.08272	0.00399	0.08315	0.00365
54	0.08324	0.00356	0.08334	0.00365
55	0.08388	0.00406	0.08352	0.00364
56	0.08321	0.00386	0.08369	0.00364
57	0.08529	0.00393	0.08386	0.00364
58	0.08374	0.00344	0.08403	0.00363
59	0.08343	0.00354	0.08419	0.00363
60	0.08392	0.00354	0.08436	0.00362
61	0.08487	0.00354	0.08454	0.00362
62	0.08455	0.00348	0.08471	0.00362
63	0.08513	0.00352	0.08489	0.00361
64	0.08489	0.00275	0.08506	0.00361
65	0.08547	0.00343	0.08522	0.0036
66	0.08583	0.00343	0.08537	0.0036
67	0.08518	0.00324	0.08551	0.0036
68	0.08565	0.00298	0.08565	0.00359
69	0.08633	0.00382	0.08578	0.00359
70	0.08534	0.00387	0.08591	0.00359
71	0.08603	0.00356	0.08604	0.00358
72	0.08635	0.00364	0.08616	0.00358
73	0.08605	0.00325	0.08629	0.00357
74	0.08648	0.00387	0.08641	0.00357
75	0.08713	0.00363	0.08653	0.00357
76	0.08671	0.00313	0.08665	0.00356
77	0.08691	0.00348	0.08675	0.00356
78	0.08592	0.00383	0.08685	0.00355
79	0.08745	0.00361	0.08695	0.00355
80	0.08759	0.00384	0.08705	0.00355
81	0.08714	0.00395	0.08714	0.00354
82	0.08713	0.0037	0.08723	0.00354
83	0.08714	0.00342	0.08732	0.00354
84	0.08763	0.00385	0.08742	0.00353
85	0.08811	0.00356	0.08811	0.00356

Genre : Femme

Age	Average ABSI	ABSI Standard Deviation	Smoothed Average ABSI	Smoothed ABSI Standard Deviation
2	0.07922	0.00319	0.08031	0.00363
3	0.08	0.00303	0.08016	0.00366
4	0.08045	0.0028	0.08001	0.00369
5	0.08085	0.00327	0.07985	0.00372
6	0.08006	0.00338	0.07969	0.00375
7	0.08013	0.00333	0.07952	0.00378
8	0.08039	0.00388	0.07935	0.0038
9	0.08016	0.0037	0.07917	0.00383
10	0.07914	0.00378	0.07899	0.00386
11	0.07934	0.004	0.07881	0.00389
12	0.07825	0.00403	0.07863	0.00392
13	0.07807	0.00439	0.07846	0.00395
14	0.07762	0.00441	0.07829	0.00397
15	0.07701	0.00391	0.07814	0.004
16	0.07739	0.00399	0.07799	0.00403
17	0.07714	0.00394	0.07787	0.00406
18	0.07705	0.00413	0.07775	0.00408
19	0.07743	0.00419	0.07765	0.00411
20	0.07712	0.00465	0.07757	0.00414
21	0.07786	0.00415	0.0775	0.00416
22	0.07728	0.0043	0.07744	0.00419
23	0.07726	0.00463	0.0774	0.00422
24	0.07771	0.0049	0.07737	0.00424
25	0.07699	0.00407	0.07735	0.00427
26	0.07719	0.00543	0.07734	0.00429
27	0.07756	0.0045	0.07735	0.00432
28	0.07772	0.00468	0.07736	0.00435
29	0.07744	0.00402	0.07739	0.00437
30	0.07703	0.00421	0.07743	0.0044
31	0.07714	0.00478	0.07747	0.00442
32	0.07738	0.00484	0.07752	0.00445
33	0.07786	0.00474	0.07759	0.00447
34	0.07779	0.00459	0.07766	0.0045
35	0.07756	0.00452	0.07773	0.00452
36	0.07854	0.00425	0.07782	0.00454
37	0.07815	0.00396	0.0779	0.00457
38	0.07861	0.005	0.078	0.00459
39	0.07779	0.0048	0.0781	0.00462
40	0.0779	0.00462	0.0782	0.00464
41	0.07892	0.00403	0.07831	0.00466
42	0.07833	0.00463	0.07842	0.00469
43	0.07882	0.00493	0.07854	0.00471
44	0.07774	0.00498	0.07866	0.00473
45	0.0786	0.00462	0.07879	0.00476
46	0.079	0.00386	0.07892	0.00478
47	0.07916	0.00477	0.07905	0.0048
48	0.07888	0.00542	0.07919	0.00483
49	0.07978	0.00464	0.07933	0.00485
50	0.07894	0.00506	0.07947	0.00487
51	0.08039	0.00436	0.07962	0.00489
52	0.08068	0.00471	0.07977	0.00492
53	0.07941	0.0042	0.07992	0.00494
54	0.08054	0.00541	0.08007	0.00496
55	0.07872	0.00498	0.08023	0.00498
56	0.08	0.00566	0.08039	0.00501
57	0.08025	0.00504	0.08055	0.00503
58	0.08204	0.00491	0.08072	0.00505
59	0.08038	0.00481	0.08088	0.00507
60	0.08094	0.00514	0.08105	0.00509
61	0.08183	0.00478	0.08122	0.00511
62	0.08146	0.00448	0.08139	0.00514
63	0.08226	0.00471	0.08156	0.00516
64	0.0812	0.00556	0.08174	0.00518
65	0.08148	0.00604	0.08191	0.0052
66	0.08148	0.00566	0.08208	0.00522
67	0.08283	0.00486	0.08226	0.00524
68	0.08228	0.00544	0.08243	0.00526
69	0.08209	0.00528	0.08261	0.00528
70	0.08316	0.00485	0.08278	0.0053
71	0.08394	0.00501	0.08296	0.00533
72	0.08246	0.00563	0.08313	0.00535
73	0.08495	0.00495	0.0833	0.00537
74	0.08342	0.00443	0.08346	0.00539
75	0.08276	0.00449	0.08363	0.00541
76	0.08464	0.00501	0.0838	0.00543
77	0.08539	0.005	0.08396	0.00545
78	0.08332	0.00611	0.08412	0.00547
79	0.08376	0.00585	0.08428	0.00549
80	0.08543	0.00598	0.08444	0.00551
81	0.08406	0.00567	0.0846	0.00553
82	0.08355	0.00641	0.08476	0.00555
83	0.08542	0.00611	0.08492	0.00557
84	0.08407	0.00484	0.08508	0.00559
85	0.08533	0.00528	0.08533	0.00528

8. Conclusion

The ABSI provides a unique perspective on an individual's health, offering a more comprehensive view than BMI alone. While BMI remains a valuable tool, ABSI should be considered an essential complement in assessing body health.