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1.
Am J Clin Nutr ; 104(2): 324-33, 2016 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-27385608

RESUMO

BACKGROUND: The carbohydrate-insulin model of obesity posits that habitual consumption of a high-carbohydrate diet sequesters fat within adipose tissue because of hyperinsulinemia and results in adaptive suppression of energy expenditure (EE). Therefore, isocaloric exchange of dietary carbohydrate for fat is predicted to result in increased EE, increased fat oxidation, and loss of body fat. In contrast, a more conventional view that "a calorie is a calorie" predicts that isocaloric variations in dietary carbohydrate and fat will have no physiologically important effects on EE or body fat. OBJECTIVE: We investigated whether an isocaloric low-carbohydrate ketogenic diet (KD) is associated with changes in EE, respiratory quotient (RQ), and body composition. DESIGN: Seventeen overweight or obese men were admitted to metabolic wards, where they consumed a high-carbohydrate baseline diet (BD) for 4 wk followed by 4 wk of an isocaloric KD with clamped protein. Subjects spent 2 consecutive days each week residing in metabolic chambers to measure changes in EE (EEchamber), sleeping EE (SEE), and RQ. Body composition changes were measured by dual-energy X-ray absorptiometry. Average EE during the final 2 wk of the BD and KD periods was measured by doubly labeled water (EEDLW). RESULTS: Subjects lost weight and body fat throughout the study corresponding to an overall negative energy balance of ∼300 kcal/d. Compared with BD, the KD coincided with increased EEchamber (57 ± 13 kcal/d, P = 0.0004) and SEE (89 ± 14 kcal/d, P < 0.0001) and decreased RQ (-0.111 ± 0.003, P < 0.0001). EEDLW increased by 151 ± 63 kcal/d (P = 0.03). Body fat loss slowed during the KD and coincided with increased protein utilization and loss of fat-free mass. CONCLUSION: The isocaloric KD was not accompanied by increased body fat loss but was associated with relatively small increases in EE that were near the limits of detection with the use of state-of-the-art technology. This trial was registered at clinicaltrials.gov as NCT01967563.


Assuntos
Composição Corporal/efeitos dos fármacos , Dieta com Restrição de Carboidratos , Dieta Cetogênica , Carboidratos da Dieta/administração & dosagem , Gorduras na Dieta/administração & dosagem , Metabolismo Energético/efeitos dos fármacos , Obesidade/dietoterapia , Tecido Adiposo/metabolismo , Adulto , Carboidratos da Dieta/metabolismo , Carboidratos da Dieta/farmacologia , Gorduras na Dieta/metabolismo , Gorduras na Dieta/farmacologia , Ingestão de Energia , Humanos , Masculino , Obesidade/metabolismo , Sobrepeso , Redução de Peso
2.
Am J Clin Nutr ; 99(4): 834-42, 2014 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-24500151

RESUMO

BACKGROUND: Achieving energy balance is critical for the interpretation of results obtained in respiratory chambers. However, 24-h energy expenditure (24EE) predictions based on estimated resting metabolic rate and physical activity level are often inaccurate and imprecise. OBJECTIVE: We aimed to develop and validate equations to better achieve energy balance in a respiratory chamber by adding or subtracting food items. DESIGN: By using a randomized data set with measures of 24EE (n = 241) performed at the Pennington Biomedical Research Center, we developed equations to predict 24EE from anthropometric, demographic, and body composition variables before and at 3 and 7 h into the chamber measurement. The equations were tested on an independent data set (n = 240) and compared with published predictive equations. RESULTS: By using anthropometric and demographic variables, the equation was as follows: 24EE (kcal/d) = 11.6 [weight (kg)] + 8.03 [height (cm)] - 3.45 [age (y)] + 217 (male) - 52 (African American) - 235. The mean prediction error was -9 ± 155 kcal/d (2046 ± 305 compared with 2055 ± 343 kcal/d for measured 24EE; P = 0.36). The prediction achieved a precision of ±10% of measured 24EE in 83% of the participants. Energy prescription was then refined by equations with the use of energy expenditure values after 3 h, 7 h, or both into the chamber study. These later equations improved the precision (±10% of measured 24EE) to 92% (P = 0.003) and 96% (P < 0.0001) of the participants at 3 and 7 h, respectively. Body composition did not improve 24EE predictions. CONCLUSIONS: We showed the use of a set of equations to prescribe and adjust energy intake to achieve energy balance in respiratory chambers over 24 h. These equations may be used in most respiratory chambers and modified to accommodate exercise or specific feeding protocols.


Assuntos
Ingestão de Energia , Metabolismo Energético , Modelos Biológicos , Avaliação Nutricional , Necessidades Nutricionais , Adulto , Negro ou Afro-Americano , Metabolismo Basal , Composição Corporal , Índice de Massa Corporal , Ingestão de Energia/etnologia , Estudos de Viabilidade , Feminino , Humanos , Louisiana , Masculino , Pessoa de Meia-Idade , Necessidades Nutricionais/etnologia , Sobrepeso/etnologia , Sobrepeso/metabolismo , Comportamento Sedentário , População Branca , Adulto Jovem
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