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A Better Index of Body Adiposity

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TLDR
A new parameter, the body adiposity index (BAI), which can be calculated from hip circumference and height only, can be used in the clinical setting even in remote locations with very limited access to reliable scales and estimates %adiposity directly.
Abstract
Obesity is a growing problem in the United States and throughout the world. It is a risk factor for many chronic diseases. The BMI has been used to assess body fat for almost 200 years. BMI is known to be of limited accuracy, and is different for males and females with similar %body adiposity. Here, we define an alternative parameter, the body adiposity index (BAI = ((hip circumference)/((height)1.5) − 18)). The BAI can be used to reflect %body fat for adult men and women of differing ethnicities without numerical correction. We used a population study, the “BetaGene” study, to develop the new index of body adiposity. %Body fat, as measured by the dual-energy X-ray absorptiometry (DXA), was used as a “gold standard” for validation. Hip circumference (R = 0.602) and height (R = −0.524) are strongly correlated with %body fat and therefore chosen as principal anthropometric measures on which we base BAI. The BAI measure was validated in the “Triglyceride and Cardiovascular Risk in African-Americans (TARA)” study of African Americans. Correlation between DXA-derived %adiposity and the BAI was R = 0.85 for TARA with a concordance of C_b = 0.95. BAI can be measured without weighing, which may render it useful in settings where measuring accurate body weight is problematic. In summary, we have defined a new parameter, the BAI, which can be calculated from hip circumference and height only. It can be used in the clinical setting even in remote locations with very limited access to reliable scales. The BAI estimates %adiposity directly.

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Journal ArticleDOI

Anthropometric Indicators Associated with the Cardiometabolic Risk of Elderly Women in Family Health Support Centers

TL;DR: Anthropometry represents an important tool for the implementation of primary health care practices, and although a lot of anthropometric indices have been used, the waist-height ratio (WHR) and the body adiposity index (BAI) have been little explored in this context, especially among the elderly.
Journal ArticleDOI

The right hand second to fourth digit ratio (2D:4D) and its relationship with body composition indicators among young population

TL;DR: Digit ratio may have a modest role in understanding the body composition indicators in terms of association between lower 2D:4D with male type pattern of anthropometric indicators even among young Indian women.
Journal ArticleDOI

The Body Adiposity Index is not applicable to the Brazilian adult population

TL;DR: In the studied sample, the BAI showed low validity for estimating body fat, while the new proposed model was found to be a good option to assess the body composition of Brazilian adults.
Journal ArticleDOI

Body Composition and Metabolic Improvement in Patients Followed Up by a Multidisciplinary Team for Obesity in China

TL;DR: In this paper, a multidisciplinary team for obesity management could significantly reduce body weight and improve metabolic indicators, including HDL-c, transaminase, and insulin resistance during a 2-year follow-up.

Examining relationships of taste sensitivity and body fat percentage using body adiposity index

TL;DR: In this paper, the authors explored the relation between body fat percentage using a fairly new measure, Body Adiposity Index (BAI), BMI, and the three types of taste sensitivities: non-, medium, and supertasters.
References
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