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Obesity Surgery

, Volume 22, Issue 8, pp 1257–1262 | Cite as

Metabolic Profile of Clinically Severe Obese Patients

  • Silvia Leite FariaEmail author
  • Orlando Pereira Faria
  • Caroline Soares Menezes
  • Heloisa Rodrigues de Gouvêa
  • Mariane de Almeida Cardeal
Clinical Research

Abstract

Background

Since low basal metabolic rate (BMR) is a risk factor for weight regain, it is important to measure BMR before bariatric surgery. We aimed to evaluate the BMR among clinically severe obese patients preoperatively. We compared it with that of the control group, with predictive formulas and correlated it with body composition.

Methods

We used indirect calorimetry (IC) to collect BMR data and multifrequency bioelectrical impedance to collect body composition data. Our sample population consisted of 193 patients of whom 130 were clinically severe obese and 63 were normal/overweight individuals. BMR results were compared with the following predictive formulas: Harris–Benedict (HBE), Bobbioni-Harsch (BH), Cunningham (CUN), Mifflin–St. Jeor (MSJE), and Horie-Waitzberg & Gonzalez (HW & G). This study was approved by the Ethics Committee for Research of the University of Brasilia. Statistical analysis was used to compare and correlate variables.

Results

Clinically severe obese patients had higher absolute BMR values and lower adjusted BMR values (p < 0.0001). A positive correlation between fat-free mass and a negative correlation between body fat percentage and BMR were found in both groups. Among the clinically severe obese patients, the formulas of HW & G and HBE overestimated BMR values (p = 0.0002 and p = 0.0193, respectively), while the BH and CUN underestimated this value; only the MSJE formulas showed similar results to those of IC.

Conclusions

The clinically severe obese patients showed low BMR levels when adjusted per kilogram per body weight. Body composition may influence BMR. The use of the MSJE formula may be helpful in those cases where it is impossible to use IC.

Keywords

Clinically severe obesity Indirect calorimetry Energy expenditure Predictive formulas Basal metabolic rate Fat mass Fat-free mass 

Notes

Conflict of interest

All authors have no conflict of interest to disclose.

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Copyright information

© Springer Science + Business Media, LLC 2012

Authors and Affiliations

  • Silvia Leite Faria
    • 1
    Email author
  • Orlando Pereira Faria
    • 1
  • Caroline Soares Menezes
    • 1
  • Heloisa Rodrigues de Gouvêa
    • 1
  • Mariane de Almeida Cardeal
    • 1
  1. 1.Gastrocirurgia de BrasíliaBrasiliaBrazil

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