scholarly journals Standard medical nutrition therapy of 25 kcal/kg ideal bodyweight/day often does not reach even resting energy expenditure for patients with type 2 diabetes

2019 ◽  
Vol 11 (3) ◽  
pp. 626-632
Author(s):  
Takuya Fukuda ◽  
Muhei Tanaka ◽  
Masahiro Yamazaki ◽  
Yoshinori Marunaka ◽  
Michiaki Fukui
Keyword(s):  
Type 2 Diabetes ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Nutrition Therapy ◽  
Medical Nutrition Therapy ◽  
Ideal Bodyweight ◽  
Medical Nutrition ◽  
Resting Energy

Medical Nutrition Therapy in the Treatment of Type 1 and Type 2 Diabetes

2009 ◽  
pp. 245-260
Author(s):  
Olga Kordonouri ◽  
Caroline Apovian ◽  
Lauren Kuhn ◽  
Thomas Danne ◽  
Christos S. Mantzoros
Keyword(s):  
Type 2 Diabetes ◽  
Nutrition Therapy ◽  
Medical Nutrition Therapy ◽  
Medical Nutrition

scholarly journals The role of celebrity diets versus medical nutrition therapy in type 2 diabetes

2015 ◽  
Vol 03 (01) ◽  
pp. 061-063
Author(s):  
Sandra Scrivens
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Nutrition Therapy ◽  
Overweight And Obesity ◽  
Medical Nutrition Therapy ◽  
Modest Weight Loss ◽  
The Individual ◽  
Medical Nutrition

AbstractWith global obesity affecting 475 million people worldwide, the continued popularity of celebrity or fad diets is not surprising. Evidence for their sustainability and long-term positive benefits on weight loss and cardiometabolic risk is, however, limited. Modest weight loss of 5-10% in overweight or obesity is associated with improvements in blood lipids, glycemia, and insulin resistance. As overweight and obesity are the main risk factors for Type 2 diabetes (T2DM), medical nutrition therapy based on a balanced, reduced total energy diet, tailored to the individual, is recommended by the American Diabetes Association, Diabetes UK and transcultural diabetes-specific nutrition algrorithm (tDNA) guidelines.

Medical Nutrition Therapy and Weight Loss Questions for the Evidence Analysis Library Prevention of Type 2 Diabetes Project: Systematic Reviews

2017 ◽  
Vol 117 (10) ◽  
pp. 1578-1611 ◽  
Author(s):  
Hollie A. Raynor ◽  
Patricia G. Davidson ◽  
Heather Burns ◽  
Micki D. Hall Nadelson ◽  
Shelley Mesznik ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Systematic Reviews ◽  
Nutrition Therapy ◽  
Medical Nutrition Therapy ◽  
Evidence Analysis ◽  
Medical Nutrition

A Medical Nutrition Therapy Program Improves Perinatal Outcomes in Mexican Pregnant Women With Gestational Diabetes and Type 2 Diabetes Mellitus

2009 ◽  
Vol 35 (6) ◽  
pp. 1004-1013 ◽  
Author(s):  
Otilia Perichart-Perera ◽  
Margie Balas-Nakash ◽  
Adalberto Parra-Covarrubias ◽  
Ameyalli Rodriguez-Cano ◽  
Aurora Ramirez-Torres ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Perinatal Outcomes ◽  
Nutrition Therapy ◽  
Medical Nutrition Therapy ◽  
Therapy Program ◽  
Medical Nutrition

scholarly journals Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

2020 ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Energy Expenditure ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background: Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods: A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results: 62 patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1-36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (-1.8% difference) and Oxford in men (-1.3% difference).Conclusion: In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

Changes of Resting Energy Expenditure in Type 2 Diabetes Rats After Roux-en-Y Gastric Bypass

2020 ◽  
Vol 30 (8) ◽  
pp. 2994-3000
Author(s):  
Weijie Chen ◽  
Haixin Yin ◽  
Ning Zhang ◽  
Wei Liu ◽  
Qiang Qu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gastric Bypass ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Resting Energy

scholarly journals Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: what can we use?

BMC Nutrition ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Thaiciane Grassi ◽  
Francesco Pinto Boeno ◽  
Mauren Minuzzo de Freitas ◽  
Tatiana Pedroso de Paula ◽  
Luciana Vercoza Viana ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Energy Expenditure ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Resting Energy Expenditure ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Predictive Equations ◽  
Resting Energy

Abstract Background Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method. Methods A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients. Results Sixty-two patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1–36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (− 1.8% difference) and Oxford in men (− 1.3% difference). Conclusion In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

Sign in / Sign up

Export Citation Format

Share Document