Abstract

BackgroundBody mass index (BMI) represents a normalization of weight to height and is used to classify adiposity. While the capacity of BMI as an adiposity index has been experimentally validated in Caucasians, but there has been little testing Asian populations.MethodsTo determine whether weight scales to height squared in Asian Indians across the general population and in Asian Indian tribes an allometric analysis on the power law model, W = αHβ, where W is weight (kg) and H is height (m) was performed on cross-sectional weight and height data from India (N = 43,880) collected through the Anthropological Survey of India. The database contained males 18–84 years of age spanning 161 districts of 14 states and including 33 different tribes (N = 5,549). Models were developed that were unadjusted and adjusted for tribe membership. The Korean National Health and Nutrition Examination Survey (KNHANES) was used to compare to height–weight data from the Anthropological Survey of India and to calculate BMI thresholds for obesity status using a receiver operating characteristic.ResultsThe unadjusted power was β = 2.08 (s = 0.02). The power for the general population (non-tribal) was β = 2.11 (s = 0.02). Powers when adjusted for tribe ranged from 1.87 to 2.35 with 24 of the 33 tribes resulting in statistically significant (p < 0.05) differences in powers from the general population. The coefficients of the adjusted terms ranged from −0.22 to 0.26 and therefore the scaling exponent does not deviate far from 2. Thresholds for BMI classification of overweight in the KNHANES database were BMI = 21 kg/m2 (AUC = 0.89) for males 18 kg/m2 (AUC = 0.97) for females. Obesity classification was calculated as BMI = 26 kg/m2 (AUC = 0.81) and 23 kg/m2 (AUC = 0.83) for females.ConclusionsOur study confirms that weight scales to height squared in Asian Indian males even after adjusting for tribe membership. We also demonstrate that optimal BMI thresholds are lower in a Korean population in comparison to currently used BMI thresholds. These results support the application of BMI in Asian populations with potentially lower thresholds.

Highlights

  • Body weight alone cannot characterize human body shape without accounting for stature

  • (2) Do Body mass index (BMI) thresholds to classify obesity differ in Asian populations?

  • Using percent body fat thresholds derived from relationships between percent body fat and cardiometabolic risk in a Korean population15, we applied a receiver operating characteristic analysis to determine corresponding optimal BMI thresholds

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Summary

Introduction

Body weight alone cannot characterize human body shape without accounting for stature. Body shape indices in humans were first derived in recognition that weight had to be normalized by some function of height in order to classify adiposity. Hood et al Nutrition and Diabetes (2019)9:2 classify obesity under the assumption that weight is proportional to height, high variance in the classifications were noted. By the 1960s, Quetelet’s index, which proposed that weight is proportional to the square of height, was adopted. Quetelet’s 1832 conjecture was experimentally verified by Ancel Keys in 19721. Ancel Keys referred to Quetelet’s index as the body mass index (BMI) and his experiment has since been reproduced in larger sample sizes consisting of predominately Caucasians. Body mass index (BMI) represents a normalization of weight to height and is used to classify adiposity. While the capacity of BMI as an adiposity index has been experimentally validated in Caucasians, but there has been little testing Asian populations

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