Year of Publication

2016

Degree Name

Master of Science (MS)

Document Type

Master's Thesis

College

Agriculture, Food and Environment

Department

Dietetics and Human Nutrition

First Advisor

Dr. Janet Kurzynske

Abstract

The Body Mass Index (BMI) is a tool used broadly by public health agencies to assess weight in populations. However, when differentiating between fat mass and fat free mass the formula (BMI = weight in kilograms/height in meters2) is not applicable. Research suggests that evaluating body fat percentage and adipose tissue deposition may provide a nuanced indication of overall health, making it more accurate on an individual basis. This study evaluated four methods (Body Mass Index, waist circumference, A Body Shape Index, and Waist to Stature Index) that assess body composition and their ability to predict body fat percentage in female collegiate athletes and overweight/obese females. The study also investigated if the CUN‐BAE formula could calculate body fat percentage accurately in comparison to air displacement plethysmography in both populations. The study found that the universality of these algorithms is uncertain in diverse populations and that the predictive power of anthropometric‐based formulas is inconsistent when considering body fat percentage.

Digital Object Identifier (DOI)

http://dx.doi.org/10.13023/ETD.2016.067

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