Novel Anthropometric Indices: An Allometric Perspective

Background/Objectives: Anthropometric indices based on height (H), weight (W), waist circumference (WC) and hip circumference (HC) can identify incident and future health risks. While BMI provides a standard for relative W (adjusted for H), there is no standard for indices using WC and HC. A body shape index (ABSI) and hip index (HI) have been proposed to extend to respectively WC and HC the same allometric power-law approach used to derive BMI to be independent of H. Here, we compared the mutually independent allometric set H, BMI, ABSI, HI with other proposed indices. Methods: We examined the formulas and rationales of published indices, and used Third National Health and Nutrition Examination Survey (NHANES III) cohort data to investigate their inter-correlations and association with mortality. Results: Many of the proposed indices are based on geometric (isometric) similarity, which does not match human body variability patterns. Unlike ABSI and HI, most proposed indices showed large correlations with BMI, complicating interpretation when considered together with BMI. Indices’ association with mortality risk were generally consistent with their correlations with BMI and ABSI. Combining the separable mortality risks associated with BMI and ABSI, even in a simplified way, outperformed any single index. Conclusions: With calls for incorporating additional indices incorporating WC and HC to supplement BMI in defining obesity, only ABSI and HI are independent of BMI. Additionally, separate risk estimates from these allometric indices can be readily combined to optimize overall risk assessment.

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Publication Details

Journal
Endocrines
Published
2025-09-04
DOI
https://doi.org/10.3390/endocrines6030044
Citations
7
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
8.15
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article

Novel Anthropometric Indices: An Allometric Perspective

Nir Y. Krakauer, Jesse C. Krakauer
7 citations
Endocrines
Body Composition Measurement Techniques
8.15
article

Novel Anthropometric Indices: An Allometric Perspective

Nir Y. Krakauer, Jesse C. Krakauer
article en
7 citations

Abstract

Background/Objectives: Anthropometric indices based on height (H), weight (W), waist circumference (WC) and hip circumference (HC) can identify incident and future health risks. While BMI provides a standard for relative W (adjusted for H), there is no standard for indices using WC and HC. A body shape index (ABSI) and hip index (HI) have been proposed to extend to respectively WC and HC the same allometric power-law approach used to derive BMI to be independent of H. Here, we compared the mutually independent allometric set H, BMI, ABSI, HI with other proposed indices. Methods: We examined the formulas and rationales of published indices, and used Third National Health and Nutrition Examination Survey (NHANES III) cohort data to investigate their inter-correlations and association with mortality. Results: Many of the proposed indices are based on geometric (isometric) similarity, which does not match human body variability patterns. Unlike ABSI and HI, most proposed indices showed large correlations with BMI, complicating interpretation when considered together with BMI. Indices’ association with mortality risk were generally consistent with their correlations with BMI and ABSI. Combining the separable mortality risks associated with BMI and ABSI, even in a simplified way, outperformed any single index. Conclusions: With calls for incorporating additional indices incorporating WC and HC to supplement BMI in defining obesity, only ABSI and HI are independent of BMI. Additionally, separate risk estimates from these allometric indices can be readily combined to optimize overall risk assessment.

EndocrinesVol. 6(3)
City College of New York (US), Beaumont Hospital, Royal Oak (US)
Openalex Percentile: Top 2%
Body Composition Measurement Techniques
8.15
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Novel Anthropometric Indices: An Allometric Perspective — Nir Y. Krakauer, Jesse C. Krakauer · Endocrines (2025) | TGRS Research Map | TGRS