RMR Estimation Model Accuracy Using Air Displacement Plethysmography-Derived Body Composition Measures in Young Adults.
OBJECTIVE
Predictive equations derived from regression techniques based on large samples are extensively utilized in estimating resting metabolic rate (RMR). Body composition assessments utilize model equations to estimate RMR. However, the agreement of these predictive models with indirect calorimetery (IC) has come into question. Our aim is to investigate the agreement of RMR estimation models using air displacement plethysmography (ADP) measures against a gas exchange IC system (RMR-C).


METHODS
Sixty-six participants (25 men, 41 women) completed the study. RMR measurements were obtained from IC and ADP within 10 minutes of one another. IC RMR estimates were tested against 9 other validated models using ADP measures via analysis of variance (ANOVA) techniques with multiple comparisons testing and Bland-Altman analysis.


RESULTS
Based on the ANOVA, the Nelson (1992) model underpredicted RMR compared to IC (p < 0.001). The Doré et al. (1982) model was the best predictor of RMR compared to the IC measures (p = 0.907).


CONCLUSIONS
The current RMR estimation model using ADP measures underpredicts total caloric needs. The Doré et al. (1982) model more accurately predicted RMR in the entire sample.
a School of Sport Science & Wellness Education, The University of Akron , Akron , Ohio.
Ronald
R
Otterstetter
a School of Sport Science & Wellness Education, The University of Akron , Akron , Ohio.|e Department of Health Education and Promotion , Kent State University , Kent , Ohio.
Brian
B
Miller
b Department of Statistics , The University of Akron , Akron , Ohio.
Mark
M
Fridline
c School of Nutrition/Dietetics, The University of Akron , Akron , Ohio.
Michelle
M
Boltz
a School of Sport Science & Wellness Education, The University of Akron , Akron , Ohio.
Chris
C
Faciana
d Department of Human Performance and Sport Business , University of Mount Union , Alliance , Ohio.
Kelsey
K
Scanlon
d Department of Human Performance and Sport Business , University of Mount Union , Alliance , Ohio.
Ronald
R
Mendel
D000273:Adipose Tissue; D000293:Adolescent; D000328:Adult; D000704:Analysis of Variance; D001481:Basal Metabolism; D001823:Body Composition; D001825:Body Fluid Compartments; D002153:Calorimetry, Indirect / Q000379:methods*; D002149:Energy Intake; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D009751:Nutritional Requirements; D010991:Plethysmography / Q000379:methods*; D055815:Young Adult
body composition assessment; caloric expenditure; fat mass; fat-free mass