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Article

Are Raw BIA Variables Useful for Predicting Resting Energy Expenditure in Adults with Obesity?

1
Department of Clinical Medicine and Surgery, Federico II University Hospital, Pansini 5, 80131 Naples, Italy
2
Interuniversity Centre for Obesity and Eating Disorders, Federico II University Hospital, Pansini 5, 80131 Naples, Italy
3
Department of Public Health, Federico II University, Pansini 5, 80131 Naples, Italy
*
Author to whom correspondence should be addressed.
Nutrients 2019, 11(2), 216; https://doi.org/10.3390/nu11020216
Received: 11 December 2018 / Revised: 14 January 2019 / Accepted: 19 January 2019 / Published: 22 January 2019
This study aimed to develop and validate new predictive equations for resting energy expenditure (REE) in a large sample of subjects with obesity also considering raw variables from bioimpedance-analysis (BIA). A total of 2225 consecutive obese outpatients were recruited and randomly assigned to calibration (n = 1680) and validation (n = 545) groups. Subjects were also split into three subgroups according to their body mass index (BMI). The new predictive equations were generated using two models: Model 1 with age, weight, height, and BMI as predictors, and Model 2 in which raw BIA variables (bioimpedance-index and phase angle) were added. Our results showed that REE was directly correlated with all anthropometric and raw-BIA variables, while the correlation with age was inverse. All the new predictive equations were effective in estimating REE in both sexes and in the different BMI subgroups. Accuracy at the individual level was high for specific group-equation especially in subjects with BMI > 50 kg/m2. Therefore, new equations based on raw-BIA variables were as accurate as those based on anthropometry. Equations developed for BMI categories did not substantially improve REE prediction, except for subjects with a BMI > 50 kg/m2. Further studies are required to verify the application of those formulas and the role of raw-BIA variables for predicting REE. View Full-Text
Keywords: obesity; basal metabolic rate; body composition; phase angle obesity; basal metabolic rate; body composition; phase angle
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MDPI and ACS Style

Marra, M.; Cioffi, I.; Sammarco, R.; Santarpia, L.; Contaldo, F.; Scalfi, L.; Pasanisi, F. Are Raw BIA Variables Useful for Predicting Resting Energy Expenditure in Adults with Obesity? Nutrients 2019, 11, 216. https://doi.org/10.3390/nu11020216

AMA Style

Marra M, Cioffi I, Sammarco R, Santarpia L, Contaldo F, Scalfi L, Pasanisi F. Are Raw BIA Variables Useful for Predicting Resting Energy Expenditure in Adults with Obesity? Nutrients. 2019; 11(2):216. https://doi.org/10.3390/nu11020216

Chicago/Turabian Style

Marra, Maurizio; Cioffi, Iolanda; Sammarco, Rosa; Santarpia, Lidia; Contaldo, Franco; Scalfi, Luca; Pasanisi, Fabrizio. 2019. "Are Raw BIA Variables Useful for Predicting Resting Energy Expenditure in Adults with Obesity?" Nutrients 11, no. 2: 216. https://doi.org/10.3390/nu11020216

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