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Journal of Obesity
Volume 2012, Article ID 953060, 9 pages
Clinical Study

Bioelectrical Impedance and Dual-Energy X-Ray Absorptiometry Assessments of Changes in Body Composition Following Exercise in Patients with Type 2 Diabetes Mellitus

1Spinal Cord Rehab Program, Toronto Rehabilitation Institute, University Health Network, 520 Sutherland Drive, Toronto, ON, Canada M4G 3V9
2Faculty of Medicine, University of Toronto, 1 Kings College Circle, Toronto, ON, Canada M5S 1A8
3Faculty of Kinesiology and Physical Education, University of Toronto, 55 Harbord Street, Rm no. 2081, Toronto, ON, Canada M5S 2W6
4Cardiac Rehabilitation and Secondary Prevention Program, Toronto Rehabilitation Institute-University Health Network, 345 Rumsey Road, Toronto, ON, Canada M4G 1R7
5Departments of Medicine and Health Policy Management and Evaluation, University of Toronto, Health Sciences Building 155 College Street, Suite 425, Toronto, ON, Canada M5T 3M6

Received 24 February 2012; Accepted 8 August 2012

Academic Editor: Bernhard H. Breier

Copyright © 2012 Masae Miyatani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We aimed to compare the level of agreement between leg-to-leg bioelectrical impedance analysis (LBIA) and dual-energy X-ray absorptiometry (DXA) for assessing changes in body composition following exercise intervention among individuals with Type 2 diabetes mellitus (T2DM). Forty-four adults with T2DM, age 5 3 . 2 ± 9 . 1 years; BMI 3 0 . 8 ± 5 . 9  kg/m2 participated in a 6-month exercise program with pre and post intervention assessments of body composition. Fat free mass (FFM), % body fat (%FM) and fat mass (FM) were measured by LBIA (TBF-300A) and DXA. LBIA assessments of changes in %FM and FM post intervention showed good relative agreements with DXA variables ( 𝑃 < 0 . 0 0 1 ). However, Bland-Altman plot(s) indicated that there were systematic errors in the assessment of the changes in body composition using LBIA compared to DXA such that, the greater the changes in participant body composition, the greater the disparity in body composition data obtained via LBIA versus DXA data (FFM, 𝑃 = 0 . 0 1 3 ; %FM, 𝑃 < 0 . 0 0 1 ; FM, 𝑃 < 0 . 0 0 1 ). In conclusion, assessment of pre and post intervention body composition implies that LBIA is a good tool for assessment qualitative change in body composition (gain or loss) among people with T2DM but is not sufficiently sensitive to track quantitative changes in an individual’s body composition.