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1.
Journal of the ASEAN Federation of Endocrine Societies ; : 152-159, 2018.
Article in English | WPRIM | ID: wpr-961512

ABSTRACT

Objectives@#To compare mean basal metabolic rate (BMR) estimated using Harris-Benedict equation (HB) and Bioelectrical Impedance Analysis (BIA) and the BMR measured using Indirect Calorimetry (IC) among adult obese Filipino patients with prediabetes or type 2 diabetes mellitus (T2DM).@*Methodology@#This was a multi-center, cross-sectional study based on review of outpatient medical records of adult, obese Filipino patients with pre-diabetes or type 2 diabetes mellitus who were seen prior to weight loss intervention at the Outpatient Clinic of St. Luke’s Medical Center-Quezon City and the Metabolic and Diabetes Center of Providence Hospital from August 2017 to January 2018. BMR was derived using three methods: Harris-Benedict equation, Bioelectrical Impedance Analysis and Indirect Calorimetry.@*Results@#A total of 153 subjects were included in the study. Eighty subjects (52%) have pre-diabetes while 73 subjects (48%) were diagnosed with T2DM. The mean BMR measured using IC is 1299±252 kcal/day while estimated mean BMR predicted using HB equation and BIA were 1628±251 kcal/day and 1635±260 kcal/day, respectively. Compared to measurement by IC, HBE and BIA significantly overestimated the mean BMR by 329 and 336 kcal/day, respectively (p-value=<0.0001). IC measured BMR showed strong positive correlation with weight and moderate positive correlation with height. Multiple stepwise regression analysis yielded the BMR prediction equation: BMR (kcal/day) = -780.806 + (11.108 x weight in kg) + (7.164 x height in cm).@*Conclusion@#Among obese Filipinos with T2DM or prediabetes, HB equation and BIA tend to overestimate the BMR measured using IC.


Subject(s)
Basal Metabolism , Calorimetry, Indirect
2.
ABCD (São Paulo, Impr.) ; 29(3): 185-188, July-Sept. 2016. tab, graf
Article in English | LILACS | ID: lil-796957

ABSTRACT

ABSTRACT Background: Reliable measurement of basal energy expenditure (BEE) in liver transplant (LT) recipients is necessary for adapting energy requirements, improving nutritional status and preventing weight gain. Indirect calorimetry (IC) is the gold standard for measuring BEE. However, BEE may be estimated through alternative methods, including electrical bioimpedance (BI), Harris-Benedict Equation (HBE), and Mifflin-St. Jeor Equation (MSJ) that carry easier applicability and lower cost. Aim: To determine which of the three alternative methods for BEE estimation (HBE, BI and MSJ) would provide most reliable BEE estimation in LT recipients. Methods: Prospective cross-sectional study including dyslipidemic LT recipients in follow-up at a 735-bed tertiary referral university hospital. Comparisons of BEE measured through IC to BEE estimated through each of the three alternative methods (HBE, BI and MSJ) were performed using Bland-Altman method and Wilcoxon Rank Sum test. Results: Forty-five patients were included, aged 58±10 years. BEE measured using IC was 1664±319 kcal for males, and 1409±221 kcal for females. Average difference between BEE measured by IC (1534±300 kcal) and BI (1584±377 kcal) was +50 kcal (p=0.0384). Average difference between the BEE measured using IC (1534±300 kcal) and MSJ (1479.6±375 kcal) was -55 kcal (p=0.16). Average difference between BEE values measured by IC (1534±300 kcal) and HBE (1521±283 kcal) was -13 kcal (p=0.326). Difference between BEE estimated through IC and HBE was less than 100 kcal for 39 of all 43patients. Conclusions: Among the three alternative methods, HBE was the most reliable for estimating BEE in LT recipients.


RESUMO Racional: Estimativa confiável do metabolismo basal em pacientes transplantados de fígado é necessária para adaptar os requerimentos energéticos, melhorar o estado nutricional e prevenir ganho de peso. Calorimetria indireta (CI) é o padrão-ouro para a medição do metabolismo basal. No entanto, ele pode ser estimado utilizando-se métodos alternativos, incluindo a bioimpedância (BI), a Equação de Harris-Benedict (EHB), e também a Equação de Mifflin-St. Jeor (MSJ). Esses métodos alternativos possuem aplicabilidade mais fácil e custo inferior quando comparados à CI. Objetivo: Determinar qual dos três métodos alternativos para a estimativa do metabolismo basal (EHB, BI e MSJ) seria o mais confiável em pacientes transplantados de fígado. Métodos: Foi realizado estudo transversal prospectivo incluindo pacientes transplantados de fígado com dislipidemia, em acompanhamento ambulatorial. Comparações dos valores calculados de metabolismo basal via CI aos valores estimados por cada um dos três métodos alternativos (EHB, BI e MSJ) foram realizadas utilizando o de Bland-Altman e o teste de Wilcoxon-Mann-Whitney. Resultados: Quarenta e cinco pacientes foram incluídos com idade 58±10 anos. O metabolismo basal medido via CI foi 1664±319 kcal para pacientes do gênero masculino, e 1409±221 kcal para o feminino. A diferença média entre a taxa de metabolismo basal aferida por CI (1534±300 kcal) e estimada por BI (1584±377 kcal) foi +50 kcal (p=0.0384). A diferença média entre a taxa de metabolismo basal aferida via CI (1534±300 kcal) e estimada por MSJ (1479.6±375 kcal) foi -55 kcal (p=0.16). A diferença média entre os valores de taxa de metabolismo basal medidos via CI (1534±300 kcal) e estimados por EHB (1521±283 kcal) foi -13 kcal (p=0.326). Além disso, a diferença entre a taxa de metabolismo basal estimada via CI e a aferida por EHB foi menor que 100 kcal para 39 de todos os 43 pacientes avaliados. Conclusões: A EHB foi o mais confiável dos três métodos de estimativa da taxa de metabolismo basal em pacientes transplantados de fígado em acompanhamento ambulatorial.


Subject(s)
Humans , Male , Female , Middle Aged , Liver Transplantation , Energy Metabolism , Cross-Sectional Studies , Prospective Studies , Mathematical Concepts
3.
Arq. bras. endocrinol. metab ; 54(5): 470-476, 2010. graf, tab
Article in Portuguese | LILACS | ID: lil-554208

ABSTRACT

OBJETIVOS: 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. SUJEITOS E MÉTODOS: Para tanto, foram utilizados 760 exames de calorimetria indireta (CI) de mulheres com idade entre 18 e 65 anos. Os resultados foram tabulados, a população foi dividida de acordo com quintis de peso e, então, realizaram-se as análises estatísticas. RESULTADOS: A média de GMR variou entre 1.226 calorias/dia a 1.775 calorias/dia. A fórmula de HB superestimou o GMR em torno de 7 por cento.Concluímos, a partir da correlação entre as variáveis, que o peso possui correlação positiva com o GMR, e a idade, uma correlação negativa. CONCLUSÃO: GMR assim como coeficiente respiratório (QR) podem ser utilizados como preditores de obesidade. Nosso estudo trouxe duas novas propostas de equações, uma para a população com índice de massa corpórea (IMC) > 35 kg/m² e outra para a população com IMC < 35 kg/m².


OBJETIVES: The goals of this study were to standardize resting metabolic rate (RMR) in the Brazilian female population and evaluate the suitability of the HB equation. SUBJECTS AND METHODS: In order to do so, 760 indirect calorimetry (CI) measurements performed in Brazilian female patients between 18 and 65 years old, were used. The results were tabulated, the population distributed according to the quintiles of weight, and the statistical analyses applied. RESULTS: The average RMR varied from 1,226 to 1,775 calories/day. The HB equation overestimated the RMR by about 7 percent. From the correlation between the variables, we conclude that weight has a positive correlation with RMR and age a negative correlation. CONCLUSION: The RMR and respiratory quotient (QR) can be used as obesity predictors. Two new equations were proposed in our study, one for the population with body mass index (BMI) > 35 kg/m² and another for the population with BMI < 35 kg/m².


Subject(s)
Adolescent , Adult , Aged , Female , Humans , Middle Aged , Young Adult , Basal Metabolism/physiology , Models, Biological , Body Mass Index , Body Size , Brazil , Calorimetry, Indirect , Predictive Value of Tests , Reference Values , Sex Factors , Young Adult
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