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24-h energy expenditure in people with type 1 diabetes: impact on equations for clinical estimation of energy expenditure.
Carnero, Elvis A; Corbin, Karen D; Casu, Anna; Igudesman, Daria; Bilal, Anika; Smith, Steven R; Kosorok, Michael R; Maahs, David M; Mayer-Davis, Elizabeth J; Pratley, Richard E.
Afiliación
  • Carnero EA; AdventHealth Translational Research Institute, 301 E. Princeton St., Orlando, FL, 32804, USA. Elvis.Alvarezcarnero@adventhealth.com.
  • Corbin KD; AdventHealth Translational Research Institute, 301 E. Princeton St., Orlando, FL, 32804, USA.
  • Casu A; AdventHealth Translational Research Institute, 301 E. Princeton St., Orlando, FL, 32804, USA.
  • Igudesman D; AdventHealth Translational Research Institute, 301 E. Princeton St., Orlando, FL, 32804, USA.
  • Bilal A; AdventHealth Translational Research Institute, 301 E. Princeton St., Orlando, FL, 32804, USA.
  • Smith SR; AdventHealth Translational Research Institute, 301 E. Princeton St., Orlando, FL, 32804, USA.
  • Kosorok MR; Department of Biostatistics, University of North Carolina at Chapel Hill, 3101 McGavran-Greenberg Hall, Chapel Hill, NC, 27599, USA.
  • Maahs DM; Department of Pediatrics, Division of Endocrinology, Stanford University, School of Medicine. 300 Pasteur Dr., Stanford, CA, 94305, USA.
  • Mayer-Davis EJ; Stanford Diabetes Research Center, Stanford, CA, 94305, USA.
  • Pratley RE; Department of Epidemiology, Stanford University, School of Medicine, Stanford, CA, 94305, USA.
Eur J Clin Nutr ; 78(8): 718-725, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38745052
ABSTRACT
BACKGROUND/

OBJECTIVES:

Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables. SUBJECTS/

METHODS:

Thirty-three young adults with T1D diagnosed ≥1 year prior and 33 healthy controls matched for sex, age and BMI were included in this analysis. We measured 24-h EE inside a whole room indirect calorimeter (WRIC) and body composition with dual x-ray absorptiometry.

RESULTS:

Participants with T1D had significantly higher 24-h EE than healthy controls (T1D = 2047 ± 23 kcal/day vs control= 1908 ± 23 kcal/day; P < 0.01). We derived equations to estimate 24-h EE with both body composition (fat free mass + fat mass) and anthropometric (weight + height) models, which provided high coefficients of determination (R2 = 0.912 for both). A clinical model that did not incorporate spontaneous physical activity yielded high coefficients of determination as well (R2 = 0.897 and R2 = 0.880 for body composition and anthropometric models, respectively).

CONCLUSION:

These results confirm that young adults with established T1D have increased 24-h EE relative to controls without T1D. The derived equations from clinically available variables can assist clinicians with energy prescriptions for weight management in patients with T1D.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Composición Corporal / Calorimetría Indirecta / Índice de Masa Corporal / Diabetes Mellitus Tipo 1 / Metabolismo Energético Idioma: En Revista: Eur J Clin Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Composición Corporal / Calorimetría Indirecta / Índice de Masa Corporal / Diabetes Mellitus Tipo 1 / Metabolismo Energético Idioma: En Revista: Eur J Clin Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article