Padronização do gasto metabólico de repouso e proposta de nova equação para uma população feminina brasileira

Abstract

RESUMOObjetivos: Os objetivos do estudo foram normatizar o gasto metabólico de repouso (GMR) de mulheres brasileiras, avaliar a adequação da fórmula de Harris Benedict (HB), a relação entre suas variáveis e propor novas equações para estimativa do GMR. InTRODUçãO I ndependentemente do fator básico desencadeador da obesidade, um desequilíbrio no balanço energético (BE), ou seja, entre a ingestão calórica total (IC) e o gasto energético total (GET), está intimamente relacionado à sua alta prevalência (1).O principal componente do GET é o gasto metabó-lico de repouso (GMR), o qual pode ser um preditor de ganho de peso (2-5).

Body Composition and Basal Metabolic Rate in Women with Type 2 Diabetes Mellitus

“…When comparing the prediction equations for the assessment of BMR in adult healthy women [ 10 , 11 , 18 – 20 ] with the measured BMR in women with T2DM investigated in this study, the results were controversial. Although BMR values were overestimated when determined by Harris and Benedict [ 10 ] and Rodrigues et al [ 18 ] equations and underestimated when determined by Mifflin et al [ 20 ] equation, these calculated values were not significantly different from the measured BMR. Only the results determined by the FAO/WHO/UNU [ 11 ] equation were significantly different from the measured BMR values.…”

“…There is little research that compares the BMR measured by indirect calorimetry with that estimated by prediction equations in adult women with T2DM. Therefore, we selected five equations developed for healthy adult women with different BM [ 10 , 11 , 18 – 20 ] but only two equations from populations of obese adults with T2DM [ 6 , 23 ].…”

“…The BMR was estimated by seven commonly used prediction equations for women: Harris and Benedict [ 10 ], FAO/WHO/UNU [ 11 ], Owen et al [ 19 ], Mifflin et al [ 20 ], Gougeon et al [ 23 ], Huang et al [ 6 ], and Rodrigues et al [ 18 ] ( Table 1 ).…”

“…Considering the data presented, it can be inferred that the choice of prediction equations for calculating BMR should be careful. The researchers recommend the use of indirect calorimetry or the development of specific equations for the population of interest or even to validate the prediction equation for the population studied [ 8 , 18 ].…”

Energy Expenditure Measured by Indirect Calorimetry in Obesity

“…It is known that in populations with severe obesity is actually more difficult to fit the equations, because there is the difficulty in choosing the weight to be applied in the equation, which may influence a lot the results [15]. The use of current weight leads to the overestimation of the results independent of the equation to be applied, and the use of ideal or adjusted weight can result in the underestimation of energy needs [16].…”