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Validity and reliability of a new whole room indirect calorimeter to assess metabolic response to small calorie loads.
Baugh, Mary Elizabeth; Ahrens, Monica L; Hutelin, Zach; Stylianos, Charlie; Wohlers-Kariesch, Erica; Oster, Mary E; Dotson, Jon; Moon, Jon; Hanlon, Alexandra L; DiFeliceantonio, Alexandra G.
Afiliação
  • Baugh ME; Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
  • Ahrens ML; Center for Health Behaviors Research at Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
  • Hutelin Z; Center for Biostatistics and Health Data Science, Department of Statistics, Virginia Tech, Blacksburg, Virginia, United States of America.
  • Stylianos C; Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
  • Wohlers-Kariesch E; Center for Health Behaviors Research at Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
  • Oster ME; Translational Biology, Medicine, and Health, Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
  • Dotson J; Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
  • Moon J; Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, Virginia, United States of America.
  • Hanlon AL; MEI Research, Ltd, Edina, Minnesota, United States of America.
  • DiFeliceantonio AG; Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, United States of America.
PLoS One ; 19(6): e0304030, 2024.
Article em En | MEDLINE | ID: mdl-38900814
ABSTRACT
We overview of our whole room indirect calorimeter (WRIC), demonstrate validity and reliability of our WRIC, and explore a novel application of Bayesian hierarchical modeling to assess responses to small carbohydrate loads. To assess WRIC validity seven gas infusion studies were performed using a gas blender and profiles designed to mimic resting and postprandial metabolic events. Sixteen participants underwent fasting and postprandial measurements, during which they consumed a 75-kcal drink containing sucrose, dextrose, or fructose in a crossover design. Linear mixed effects models were used to compare resting and postprandial metabolic rate (MR) and carbohydrate oxidation. Postprandial carbohydrate oxidation trajectories for each participant and condition were modeled using Bayesian Hierarchical Modeling. Mean total error in infusions were 1.27 ± 0.67% and 0.42 ± 0.70% for VO2 and VCO2 respectively, indicating a high level of validity. Mean resting MR was similar across conditions ([Formula see text] = 1.05 ± 0.03 kcal/min, p = 0.82, ICC 0.91). While MR increased similarly among all conditions (~13%, p = 0.29), postprandial carbohydrate oxidation parameters were significantly lower for dextrose compared with sucrose or fructose. We provide evidence validating our WRIC and a novel application of statistical methods useful for research using WRIC.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Calorimetria Indireta / Teorema de Bayes / Período Pós-Prandial Limite: Adult / Female / Humans / Male Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Calorimetria Indireta / Teorema de Bayes / Período Pós-Prandial Limite: Adult / Female / Humans / Male Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos