scholarly journals Comparison of the Harris-Benedict Equation, Bioelectrical Impedance Analysis, and Indirect Calorimetry for Measurement of Basal Metabolic Rate among Adult Obese Filipino Patients with Prediabetes or Type 2 Diabetes Mellitus

2018 ◽  
Vol 33 (2) ◽  
pp. 152-159
Author(s):  
Sybil Claudine Luy ◽  
◽  
Oliver Allan Dampil
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Marina de Figueiredo Ferreira ◽  
Filipe Detrano ◽  
Gabriela Morgado de Oliveira Coelho ◽  
Maria Elisa Barros ◽  
Regina Serrão Lanzillotti ◽  
...  

Objective.The aim of this study was to determine which of the seven selected equations used to predict basal metabolic rate most accurately estimated the measured basal metabolic rate.Methods.Twenty-eight adult women with type 2 diabetes mellitus participated in this cross-sectional study. Anthropometric and biochemical variables were measured as well as body composition (by absorptiometry dual X-ray emission) and basal metabolic rate (by indirect calorimetry); basal metabolic rate was also estimated by prediction equations.Results.There was a significant difference between the measured and the estimated basal metabolic rate determined by the FAO/WHO/UNU(Pvalue<0.021)and Huang et al.(Pvalue≤0.005)equations.Conclusion.The calculations using Owen et al’s. equation were the closest to the measured basal metabolic rate.


Metabolism ◽  
2004 ◽  
Vol 53 (11) ◽  
pp. 1395-1398 ◽  
Author(s):  
Kiyoko Nawata ◽  
Motoi Sohmiya ◽  
Mikiko Kawaguchi ◽  
Masateru Nishiki ◽  
Yuzuru Kato

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Masae Miyatani ◽  
Pearl Yang ◽  
Scott Thomas ◽  
B. Catharine Craven ◽  
Paul Oh

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, age53.2±9.1years; BMI30.8±5.9 kg/m2participated 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<0.001). 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=0.013; %FM,P<0.001; FM,P<0.001). 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.


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