Year of Publication

2019

Degree Name

Master of Science in Nutrition and Food Systems (MSNFS)

Document Type

Master's Thesis

College

Agriculture, Food and Environment

Department/School/Program

Dietetics and Human Nutrition

First Advisor

Dr. Kyle Flack

Abstract

Background: Body composition measures include fat mass (FM), fat free mass (FFM), and percent body fat (%BF), which are markers of health status and disease risk. Accurate body composition assessment is needed to evaluate an individual’s health and the efficacy of treatment strategies. Objective: Compare body composition estimates obtained from the Norland DXA, BodPod®, and iDXA before and after a 12-week exercise intervention. Subjects/setting: Overweight to obese (BMI 25–35 kg/m2) sedentary men and women (n=30) aged 18 to 40 years were recruited from central KY. Main outcome measure: Agreement in FM, FFM, and %BF between Norland DXA, iDXA, and BodPod®. Statistical analysis: Bland Altman plots evaluated mean bias and limits of agreement between iDXA vs Norland DXA, BodPod® vs Norland, and BodPod® vs iDXA. T-tests determined if each mean bias was different from zero. Results: Compared to the iDXA, Norland DXA overestimated BF% and FM at baseline and post intervention (P < 0.01), without differences in FFM (P > 0.05). The BodPod® underestimated BF% and FM and overestimated FFM compared to both DXA machines(all P < 0.01). Conclusion: The Norland and iDXA produce different measures of FM but similar measures of FFM. As well, the BodPod® measures FM and FFM differently than either DXA machine.

Digital Object Identifier (DOI)

https://doi.org/10.13023/etd.2019.041

Share

COinS